TH1D* getQCD(int rebinFact){
TString dir = "rootFiles/";
TFile* file = new TFile(dir +"qcdest.root");
TH1D* plot = (TH1D*) file->Get("muon_AbsEta_0btag");
// for(int i = 1; i <= plot->GetNbinsX(); i++){
// plot->SetBinError(i, 0.0);
// }
plot->SetFillColor(kYellow);
plot->SetLineColor(kYellow);
plot->SetMarkerStyle(1);
TH1D* copyplot = new TH1D("qcd plot", "qcd plot", 30, 0.0, 3.0);
for(int i = 1; i <= plot->GetNbinsX(); i++){
copyplot->SetBinContent(i, plot->GetBinContent(i));
//copyplot->SetBinError(i, plot->GetBinError(i));
}
copyplot->SetFillColor(kYellow);
copyplot->SetLineColor(kYellow);
copyplot->SetMarkerStyle(1);
copyplot->Scale(1./copyplot->Integral());
copyplot->Rebin(rebinFact);
//file->Close("R");
return copyplot;
//file->Close();
}
TH1D* getSample(TString sample, double weight){
TString dir = "rootFilesV4/central/";
TFile* file = new TFile(dir + sample + "_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
//TDirectoryFile* folder = (TDirectoryFile*) file->Get("TTbarPlusMetAnalysis/QCD No Iso/Muon/");
TH1D* plot = (TH1D*) file->Get("EventCount/"+Variable);
if(sample == "TTJet"){
plot->SetFillColor(kRed+1);
plot->SetLineColor(kRed+1);
}else if(sample == "WJetsToLNu" || sample == "W1Jet" || sample == "W2Jets"|| sample == "W3Jets"|| sample == "W4Jets"){
plot->SetLineColor(kGreen-3);
plot->SetFillColor(kGreen-3);
}else if(sample == "DYJetsToLL" || sample == "DY1JetsToLL" || sample == "DY2JetsToLL" || sample == "DY3JetsToLL" || sample == "DY4JetsToLL"){
plot->SetFillColor(kAzure-2);
plot->SetLineColor(kAzure-2);
}else if(sample == "QCD_Pt_20_MuEnrichedPt_15" || sample == "QCD_Pt-15to20_MuEnrichedPt5" || sample=="QCD_Pt-15to20_MuEnrichedPt5" || sample =="QCD_Pt-20to30_MuEnrichedPt5" || sample == "QCD_Pt-30to50_MuEnrichedPt5" || sample == "QCD_Pt-50to80_MuEnrichedPt5" || sample == "QCD_Pt-80to120_MuEnrichedPt5" || sample == "QCD_Pt-120to170_MuEnrichedPt5" || sample == "QCD_Pt-170to300_MuEnrichedPt5" || sample == "QCD_Pt-300to470_MuEnrichedPt5" || sample == "QCD_Pt-470to600_MuEnrichedPt5" || sample == "QCD_Pt-800to1000_MuEnrichedPt5" || sample =="QCD_Pt-1000_MuEnrichedPt5" ){
plot->SetFillColor(kYellow);
plot->SetLineColor(kYellow);
}else if(sample == "T_t-channel" || sample == "T_tW-channel" || sample == "T_s-channel" || sample == "Tbar_t-channel" || sample == "Tbar_tW-channel" || sample == "Tbar_s-channel"){
plot->SetFillColor(kMagenta);
plot->SetLineColor(kMagenta);
}
if(sample != "SingleMu")
plot->Scale(19.605/19.584);
//plot->Scale(weight);
plot->Rebin(rebinFact);
return plot;
}
void loglikdistrib(Int_t ntrials = 10000, Bool_t print = kFALSE)
{
// compute distribution of log likelihood value
TH1D * hmc = gStack[gPadNr][gOrder[gPadNr][0]];
TH1D * hdata = gStack[gPadNr][gMaxProcess-1];
Int_t nbins = hmc->GetNbinsX();
Double_t loglik = loglikelihood(hmc, hdata, 1, nbins);
TH1D * htest = new TH1D(*hdata);
TH1D * lldistrib = new TH1D("lldistrib", "log(Likelihood) distribution",
1000, loglik-200, loglik+200);
setopt(lldistrib);
for (Int_t n = 0; n < ntrials; n++) {
// generate poisson around theorie
for (Int_t i = 1; i <= nbins; i++) {
htest->SetBinContent(i, gRandom->Poisson(hmc->GetBinContent(i)));
}
lldistrib->Fill(loglikelihood(hmc, htest, 1, nbins));
}
TCanvas * llcanvas = new TCanvas("llcanvas", "Log(Likelihood) distribution",
40, 40, 800, 600);
setopt(llcanvas);
lldistrib->SetFillColor(kYellow);
lldistrib->Draw();
lldistrib->GetYaxis()->SetTitle("Anzahl Ereignisse");
lldistrib->GetXaxis()->SetTitle("-ln L");
// autozoom
Int_t lowbin = 1;
while (lldistrib->GetBinContent(lowbin) == 0)
lowbin++;
Int_t highbin = lldistrib->GetNbinsX();
while (lldistrib->GetBinContent(highbin) == 0)
highbin--;
lldistrib->SetAxisRange(lldistrib->GetBinLowEdge(lowbin),
lldistrib->GetBinLowEdge(highbin));
TH1D * hworse = (TH1D *) lldistrib->Clone();
for (Int_t nbin = 1; nbin < 501; nbin++) {
hworse->SetBinContent(nbin, 0);
}
hworse->SetFillColor(95);
hworse->Draw("same");
Double_t pvalue = lldistrib->Integral(501,1000) / lldistrib->Integral();
TLatex * tex = new TLatex(0.18, 0.96, Form("-ln L_{obs} = %5.2f", loglik));
tex->SetNDC();
tex->SetTextAlign(13);
tex->Draw();
tex = new TLatex(0.18, 0.86, Form("CL_{obs} = %.3f", pvalue));
tex->SetNDC();
tex->SetTextAlign(13);
tex->Draw();
TLine * l = new TLine(loglik, 0, loglik, lldistrib->GetMaximum());
l->SetLineWidth(3);
l->SetLineColor(kBlue);
l->Draw();
llcanvas->Modified();
llcanvas->Update();
if (print)
llcanvas->Print("lldistrib.pdf");
cd(gPadNr+1);
}
void plotTurnOn(TTree* inttree, TString triggerpass, TString variable, TString varname, TString varlatex)
{
if(varname=="vtxprob")
{
BIN_MIN = 0;
BIN_MAX = 1;
}
else if(varname=="ffls3d")
{
BIN_MIN = 0;
BIN_MAX = 50;
}
else if(varname=="cosalpha")
{
BIN_MIN = 0.9;
BIN_MAX = 1;
}
TH1D* hAll = new TH1D(Form("h%s_%s_All",triggerpass.Data(),varname.Data()),Form(";%s;Probability",varlatex.Data()),BIN_NUM,BIN_MIN,BIN_MAX);
inttree->Project(Form("h%s_%s_All",triggerpass.Data(),varname.Data()),variable,prefilter);
TH1D* hMBseed = new TH1D(Form("h%s_%s_MBseed",triggerpass.Data(),varname.Data()),Form(";%s;Probability",varlatex.Data()),BIN_NUM,BIN_MIN,BIN_MAX);
inttree->Project(Form("h%s_%s_MBseed",triggerpass.Data(),varname.Data()),variable,Form("%s&&%s",prefilter.Data(),triggerpass.Data()));
//cout<<hAll->Integral()<<endl;
hAll->Scale(1./hAll->Integral());
hMBseed->Scale(1./hMBseed->Integral());
hAll->SetStats(0);
hMBseed->SetStats(0);
hAll->SetMaximum(hMBseed->GetMaximum()*1.3);
hAll->SetLineWidth(2);
hAll->SetLineColor(kBlue-7);
hAll->SetFillColor(kBlue-7);
hAll->SetFillStyle(3001);
hMBseed->SetLineWidth(2);
hMBseed->SetLineColor(kRed);
hMBseed->SetFillColor(kRed);
hMBseed->SetFillStyle(3004);
TCanvas* c = new TCanvas(Form("c%s_%s",triggerpass.Data(),varname.Data()),"",500,500);
hAll->Draw();
hMBseed->Draw("same");
TLatex* tex = new TLatex(0.18,0.96,triggerpass);
tex->SetNDC();
tex->SetTextFont(42);
tex->SetTextSize(0.04);
tex->Draw();
TLegend* leg = new TLegend(0.60,0.82,0.92,0.93);
leg->SetFillStyle(0);
leg->SetBorderSize(0);
leg->AddEntry(hAll,"all","f");
leg->AddEntry(hMBseed,"pass trigger","f");
leg->Draw();
c->SaveAs(Form("triggerturnonPlots/pthat%.0f/c%s_%s.pdf",pthat,triggerpass.Data(),varname.Data()));
}
void PlotWriteErrors(TFile* input, TFile* output, TString output_folder, TString canvas, TString Hist, TString Opt="")
{
// Setup the canvas
TCanvas *c1= new TCanvas(canvas,canvas,800,700);
// Get the histograms from the files
TH1D *Data = (TH1D*)input->Get(Hist);
//check to make sure there are some events before setting the log scale
if(Data->Integral() == 0 ) c1->SetLogy(0);
else c1->SetLogy(1);
// Fill for histogram
Data->SetFillColor(kBlue);
Data->GetXaxis()->SetTitleSize(0.06);
Data->GetXaxis()->SetTitleOffset(0.75);
Data->GetYaxis()->SetTitleSize(0.05);
Data->GetYaxis()->SetTitleOffset(1.00);
// plot them
Data->DrawCopy("hist");
gPad->RedrawAxis();
//write canvas as png
c1->Print(TString(output_folder+canvas+".png"));
//write canvas to output file
output->cd();
c1->Write();
return;
}
plotClasses(const char* canvas, const char* title,
int nClasses, const char classes[][200],
const int* events, const double* weights)
{
char evtitle[200], wttitle[200];
strcpy(evtitle,title);
strcpy(wttitle,title);
strcat(evtitle,": Events");
strcat(wttitle,": Weights");
TCanvas *c
= new TCanvas(canvas,"SPR Input Classes",200,10,600,400);
gStyle->SetPalette(1);
int maxEv = TMath::MaxElement(nClasses,events);
double maxWt = TMath::MaxElement(nClasses,weights);
TPad* pad1 = new TPad("events", evtitle,0,0,1.,0.5);
TPad* pad2 = new TPad("weights",wttitle,0,0.5,1.,1.);
pad1->Draw();
pad2->Draw();
// events
pad1->cd();
TH1I* hev = new TH1I("events",evtitle,nClasses,0,nClasses);
for( int i=0;i<nClasses;i++ )
hev->Fill(classes[i],events[i]);
hev->LabelsDeflate("X");
hev->SetLabelSize(0.06,"X");
hev->SetLabelSize(0.1,"X");
hev->SetLabelSize(0.1,"Y");
hev->SetLineColor(4);
hev->SetFillColor(4);
hev->SetBarWidth(0.8);
hev->SetBarOffset(0.1);
TAxis* yaxis1 = hev->GetYaxis();
yaxis1->SetRangeUser(0.,1.1*maxEv);
hev->Draw("B");
// weights
pad2->cd();
TH1D* hwt = new TH1D("weights",wttitle,nClasses,0,nClasses);
for( int i=0;i<nClasses;i++ )
hwt->Fill(classes[i],weights[i]);
hwt->LabelsDeflate("X");
hwt->SetLabelSize(0.06,"X");
hwt->SetLabelSize(0.1,"X");
hwt->SetLabelSize(0.1,"Y");
hwt->SetLineColor(3);
hwt->SetFillColor(3);
hwt->SetBarWidth(0.8);
hwt->SetBarOffset(0.1);
TAxis* yaxis2 = hwt->GetYaxis();
yaxis2->SetRangeUser(0.,1.1*maxWt);
hwt->Draw("B");
}
TH1D* CutFlow::hashErrors(AllSamples samples, Variable variable){
TH1D * hashErrors = allMChisto(samples, variable);
hashErrors->SetFillColor(kBlack);
hashErrors->SetFillStyle(3354);
hashErrors->SetMarkerSize(0.);
hashErrors->SetStats(0);
return hashErrors;
}
void DynamicExec()
{
// Example of function called when a mouse event occurs in a pad.
// When moving the mouse in the canvas, a second canvas shows the
// projection along X of the bin corresponding to the Y position
// of the mouse. The resulting histogram is fitted with a gaussian.
// A "dynamic" line shows the current bin position in Y.
// This more elaborated example can be used as a starting point
// to develop more powerful interactive applications exploiting CINT
// as a development engine.
//
// Author: Rene Brun
TObject *select = gPad->GetSelected();
if(!select) return;
if (!select->InheritsFrom("TH2")) {gPad->SetUniqueID(0); return;}
TH2 *h = (TH2*)select;
gPad->GetCanvas()->FeedbackMode(kTRUE);
//erase old position and draw a line at current position
int pyold = gPad->GetUniqueID();
int px = gPad->GetEventX();
int py = gPad->GetEventY();
float uxmin = gPad->GetUxmin();
float uxmax = gPad->GetUxmax();
int pxmin = gPad->XtoAbsPixel(uxmin);
int pxmax = gPad->XtoAbsPixel(uxmax);
if(pyold) gVirtualX->DrawLine(pxmin,pyold,pxmax,pyold);
gVirtualX->DrawLine(pxmin,py,pxmax,py);
gPad->SetUniqueID(py);
Float_t upy = gPad->AbsPixeltoY(py);
Float_t y = gPad->PadtoY(upy);
//create or set the new canvas c2
TVirtualPad *padsav = gPad;
TCanvas *c2 = (TCanvas*)gROOT->GetListOfCanvases()->FindObject("c2");
if(c2) delete c2->GetPrimitive("Projection");
else c2 = new TCanvas("c2","Projection Canvas",710,10,700,500);
c2->SetGrid();
c2->cd();
//draw slice corresponding to mouse position
Int_t biny = h->GetYaxis()->FindBin(y);
TH1D *hp = h->ProjectionX("",biny,biny);
hp->SetFillColor(38);
char title[80];
sprintf(title,"Projection of biny=%d",biny);
hp->SetName("Projection");
hp->SetTitle(title);
hp->Fit("gaus","ql");
hp->GetFunction("gaus")->SetLineColor(kRed);
hp->GetFunction("gaus")->SetLineWidth(6);
c2->Update();
padsav->cd();
}
TH1D* CutFlow::readCutFlowHistogram(Sample sample, Variable variable) {
cout << "plot: " << selection+"/"+variable.name << endl;
TH1D* plot = (TH1D*) sample.file->Get(selection+"/"+variable.name);
plot->SetFillColor(sample.fillColor);
plot->SetLineColor(sample.lineColor);
return plot;
}
TH1D *
GetITSsaSpectrum(TFile *file, Int_t part, Int_t charge, Int_t cent, Bool_t cutSpectrum = kTRUE, Bool_t addSystematicError = kTRUE)
{
/* pt limits for combined spectra */
Double_t ptMin[AliPID::kSPECIES] = {0., 0., 0.1, 0.2, 0.3};
Double_t ptMax[AliPID::kSPECIES] = {0., 0., 0.6, 0.5, 0.6};
TList *list = (TList *)file->Get("output");
TH1D *hin = (TH1D *)list->FindObject(Form("h_%s_%s_cen_%d", ITSsaPartName[part], ITSsaChargeName[charge], cent));
if (!hin) return NULL;
/* get systematics */
TFile *fsys = TFile::Open("SPECTRASYS_ITSsa.root");
TH1 *hsys = fsys->Get(Form("hSystTot%s%s", ITSsaChargeName[charge], ITSsaPartName[part]));
TH1D *h = new TH1D(Form("hITSsa_cent%d_%s_%s", cent, AliPID::ParticleName(part), chargeName[charge]), "ITSsa", NptBins, ptBin);
Double_t pt, width, value, error, sys;
Int_t bin;
for (Int_t ipt = 0; ipt < NptBins; ipt++) {
/* get input bin */
pt = h->GetBinCenter(ipt + 1);
width = h->GetBinWidth(ipt + 1);
bin = hin->FindBin(pt);
/* sanity check */
if (TMath::Abs(hin->GetBinCenter(bin) - pt) > 0.001 ||
TMath::Abs(hin->GetBinWidth(bin) - width) > 0.001)
continue;
/* check pt limits */
if (cutSpectrum && (pt < ptMin[part] || pt > ptMax[part])) continue;
/* copy bin */
value = hin->GetBinContent(bin);
error = hin->GetBinError(bin);
/*** TEMP ADD SYS ***/
if (addSystematicError) {
sys = hsys->GetBinContent(bin) * value;
error = TMath::Sqrt(error * error + sys * sys);
}
h->SetBinContent(ipt + 1, value);
h->SetBinError(ipt + 1, error);
}
h->SetTitle("ITSsa");
h->SetLineWidth(1);
h->SetLineColor(1);
h->SetMarkerStyle(20);
h->SetMarkerColor(1);
h->SetFillStyle(0);
h->SetFillColor(0);
return h;
}
void plotter::draw_rec(TH1D* data_, TH1D* sig_, TH1D* bgr_, TString file_name){
TH1D* data = (TH1D*) data_->Clone("data");
TH1D* sig = (TH1D*) sig_->Clone("sig");
TH1D* bgr = (TH1D*) bgr_->Clone("bgr");
TCanvas *c= new TCanvas("c","",1200,600);
gPad->SetLeftMargin(0.15);
sig->Add(bgr, 1.);
sig->SetTitle(" ");
sig->GetYaxis()->SetRangeUser(0., 250);
sig->GetXaxis()->SetTitle("detector binning");
sig->GetYaxis()->SetTitle("events");
sig->GetYaxis()->SetTitleOffset(1.5);
sig->GetYaxis()->SetNdivisions(505);
sig->SetFillColor(810);
sig->SetLineColor(810);
sig->Draw("HIST");
bgr->SetFillColor(kGray);
bgr->SetLineColor(kBlack);
bgr->SetFillStyle(1001);
bgr->Draw("HIST SAME");
data->SetLineColor(kBlack);
data->SetLineColor(kBlack);
data->SetLineStyle(1);
data->SetMarkerColor(kBlack);
data->SetMarkerStyle(20);
data->Draw("E SAME");
TLegend *l=new TLegend(0.2,0.7,0.4,0.88);
l->SetBorderSize(0);
l->SetFillStyle(0);
l->AddEntry(data,"Data","pl");
l->AddEntry(sig,"t#bar{t}","f");
l->AddEntry(bgr,"Background","f");
l->Draw();
gPad->RedrawAxis();
c->SaveAs(directory + file_name + ".pdf");
delete c;
}
TH1D *
GetITSTPCSpectrum(TFile *file, Int_t part, Int_t charge, Int_t cent)
{
TList *list = (TList *)file->Get("output");
TH1D *hin = (TH1D *)list->FindObject(Form("h_%s_%s_cen_%d", ITSTPCPartName[part], ITSTPCChargeName[charge], cent + 1));
if (!hin) return NULL;
TH1D *h = new TH1D(Form("hITSTPC_cent%d_%s_%s", cent, AliPID::ParticleName(part), chargeName[charge]), "ITSTPC", NptBins, ptBin);
Double_t pt, width, value, error;
Int_t bin;
for (Int_t ipt = 0; ipt < NptBins; ipt++) {
/* get input bin */
pt = h->GetBinCenter(ipt + 1);
width = h->GetBinWidth(ipt + 1);
bin = hin->FindBin(pt);
/* sanity check */
if (TMath::Abs(hin->GetBinCenter(bin) - pt) > 0.001 ||
TMath::Abs(hin->GetBinWidth(bin) - width) > 0.001)
continue;
/* copy bin */
value = hin->GetBinContent(bin);
error = hin->GetBinError(bin);
h->SetBinContent(ipt + 1, value);
h->SetBinError(ipt + 1, error);
}
#if 0
/* add systematic error */
Double_t sys;
if (part == 2) sys = 0.5;
else sys = 0.1;
Double_t cont, conte;
for (Int_t ipt = 0; ipt < h->GetNbinsX(); ipt++) {
cont = h->GetBinContent(ipt + 1);
conte = h->GetBinError(ipt + 1);
conte = TMath::Sqrt(conte * conte + sys * sys * cont * cont);
h->SetBinError(ipt + 1, conte);
}
#endif
h->SetTitle("ITSTPC");
h->SetLineWidth(1);
h->SetLineColor(1);
h->SetMarkerStyle(21);
h->SetMarkerColor(2);
h->SetFillStyle(0);
h->SetFillColor(0);
return h;
}
TCanvas* pMenu(std::string what)
{
TCanvas* c = new TCanvas(("cMenu"+what).c_str(),("cMenu"+what).c_str(),1500,400);
c->SetBottomMargin(0.6);
c->SetLeftMargin(0.04);
c->SetRightMargin(0.01);
TH1D* h = (TH1D*)gROOT->FindObject(("hMenuAlgos"+what).c_str());
h->SetLineColor(4);
h->SetFillColor(4);
h->SetFillStyle(3003);
h->LabelsOption("v");
h->GetYaxis()->SetLabelOffset(0.005);
// h->GetXaxis()->SetRange(550,680);
h->DrawCopy();
return c;
}
void plotter::draw_1D_hist(TH1D* hist_, TString file_name){
TH1D* hist = (TH1D*) hist_->Clone("hist");
TCanvas *c= new TCanvas("Particle Level","",600,600);
gPad->SetLeftMargin(0.15);
hist->SetTitle(" ");
hist->GetXaxis()->SetTitle("Leading-jet mass [GeV]");
hist->GetYaxis()->SetTitle("events");
hist->GetYaxis()->SetTitleOffset(1.5);
hist->GetYaxis()->SetNdivisions(505);
hist->SetFillColor(810);
hist->SetLineColor(810);
hist->Draw("HIST");
gPad->RedrawAxis();
c->SaveAs(directory + file_name + ".pdf");
delete c;
}
void CompareBranch(string MCfilename, string CDfilename, string MCbranchname, string CDbranchname, string xtitle, string unit, string plotname, string MCcuts, string CDcuts, string MCweight, string CDweight, double xlow, double xup, int nbins)
{
TH1D* MChist = MakeBranchPlot(MCfilename,MCbranchname,MCcuts,MCweight,xlow,xup,nbins);
TH1D* CDhist = MakeBranchPlot(CDfilename,CDbranchname,CDcuts,CDweight,xlow,xup,nbins);
MChist->Scale(1./MChist->Integral());
CDhist->Scale(1./CDhist->Integral());
MChist->SetDrawOption("B");
MChist->SetFillColor(kOrange);
MChist->SetLineColor(kOrange);
MChist->SetMaximum(MChist->GetMaximum()*1.3);
MChist->SetMinimum(0);
// Draw everything
plotmaker plotter(MChist);
plotter.SetTitle(xtitle, unit);
TCanvas* plot = plotter.Draw();
CDhist->Draw("sameE1");
plot->SaveAs((plotname+".pdf").c_str());
}
void PlotErrors(TFile* data, TString Hist, TString Opt="")
{
// Get the histograms from the files
TH1D *Data = (TH1D*)data->Get(Hist);
//check to make sure there are some events for log scale
if(Data->Integral() == 0 ) c1->SetLogy(0);
else c1->SetLogy(1);
// Fill for histogram
Data->SetFillColor(kBlue);
// plot them
Data->DrawCopy("hist");
gPad->RedrawAxis();
}
TH1D *HistoRatio (TH1D *hisNum, TH1D *hisDen){
//Graph Ratio Clone
TH1D *Ratio;
Ratio = (TH1D*)hisNum->Clone();
Ratio->Divide(hisDen);
for(int ibin=1;ibin<=Ratio->GetNbinsX();ibin++) {
if (Ratio->GetBinContent(ibin) == 0.0 ) {
Ratio->SetBinContent(ibin, 1.0);
Ratio->SetBinError(ibin, 0.0);
}
}
Ratio->SetFillColor(0);
Ratio->SetLineColor(kGray+2);
// Ratio->SetLineColor(kMagenta-5);
Ratio->SetLineWidth(1);
Ratio->SetTitle("");
Ratio->GetYaxis()->SetTitle("Obs/Exp");
Ratio->GetYaxis()->CenterTitle();
Ratio->GetYaxis()->SetTitleFont(42);
Ratio->GetYaxis()->SetTitleSize(0.135);
Ratio->GetYaxis()->SetTitleOffset(0.28);
Ratio->GetYaxis()->SetLabelFont(42);
Ratio->GetYaxis()->SetLabelSize(0.115);
Ratio->GetYaxis()->SetNdivisions(402);
Ratio->GetXaxis()->SetTitle("CSVv2 bin");
Ratio->GetXaxis()->SetNdivisions(509); //(402)
Ratio->GetXaxis()->SetTitleOffset(1.1);
Ratio->GetXaxis()->SetTitleFont(42);
Ratio->GetXaxis()->SetTitleSize(0.16);
Ratio->GetXaxis()->SetTitleFont(42);
Ratio->GetXaxis()->SetLabelSize(0.14);
Ratio->SetMinimum(0.4);
Ratio->SetMaximum(1.6);
return Ratio;
}
//always data
TH1D* getQCD(TString Obj, TString Variable, int rebinFact){
TString dir = "rootFilesV4/central/";
TFile* file = new TFile(dir + "SingleMu_19584pb_PFElectron_PFMuon_PF2PATJets_PFMET.root");
//TDirectoryFile* folder = (TDirectoryFile*) file->Get("TTbarPlusMetAnalysis/QCD No Iso/Muon/");
TH1D* plot = (TH1D*) file->Get("TTbar_plus_X_analysis/MuPlusJets/QCD non iso mu+jets ge4j/"+Obj+Variable+"0btag");
plot->SetFillColor(kYellow);
plot->SetLineColor(kYellow);
plot->Scale(1/plot->Integral());
plot->Rebin(rebinFact);
plot->SetDirectory(gROOT);
file->Close();
return plot;
}
TH1D *
GetTPCTOFSpectrum(TFile *file, Int_t part, Int_t charge, Int_t cent, Bool_t cutSpectrum = kTRUE)
{
/* pt limits for combined spectra */
Double_t ptMin[AliPID::kSPECIES] = {0., 0., 0., 0., 0.};
Double_t ptMax[AliPID::kSPECIES] = {0., 0., 1.2, 1.2, 1.8};
TH1D *hin = (TH1D *)file->Get(Form("%sFinal%s%d", TPCTOFPartName[part], TPCTOFChargeName[charge], cent));
if (!hin) return NULL;
TH1D *h = new TH1D(Form("hTPCTOF_cent%d_%s_%s", cent, AliPID::ParticleName(part), chargeName[charge]), "TPCTOF", NptBins, ptBin);
Double_t pt, width, value, error;
Int_t bin;
for (Int_t ipt = 0; ipt < NptBins; ipt++) {
/* get input bin */
pt = h->GetBinCenter(ipt + 1);
width = h->GetBinWidth(ipt + 1);
bin = hin->FindBin(pt);
/* sanity check */
if (TMath::Abs(hin->GetBinCenter(bin) - pt) > 0.001 ||
TMath::Abs(hin->GetBinWidth(bin) - width) > 0.001)
continue;
/* check pt limits */
if (cutSpectrum && (pt < ptMin[part] || pt > ptMax[part])) continue;
/* copy bin */
value = hin->GetBinContent(bin);
error = hin->GetBinError(bin);
h->SetBinContent(ipt + 1, value);
h->SetBinError(ipt + 1, error);
}
h->SetTitle("TPCTOF");
h->SetLineWidth(1);
h->SetLineColor(1);
h->SetMarkerStyle(22);
h->SetMarkerColor(8);
h->SetFillStyle(0);
h->SetFillColor(0);
return h;
}
void plotter::draw_smearFit(TH1D* variation, TF1* fit_, TString file_name){
TH1D* var = (TH1D*) variation->Clone();
TF1* fit = (TF1*) fit_->Clone();
TCanvas *c= new TCanvas("","",600,600);
gPad->SetLeftMargin(0.15);
double ymax = var->GetMaximum() * 1.5;
var->GetYaxis()->SetRangeUser(0., ymax);
var->GetXaxis()->SetTitle("bin content");
var->GetYaxis()->SetTitle("events");
var->GetYaxis()->SetTitleOffset(1.5);
var->GetYaxis()->SetNdivisions(505);
var->SetFillColor(kGray);
var->SetLineColor(kBlack);
var->Draw("HIST");
fit->SetLineColor(kRed);
fit->SetLineWidth(4);
fit->Draw("SAME");
gPad->RedrawAxis();
c->SaveAs(directory + file_name + ".pdf");
delete c;
}
void makePlotWithSelection(TTree* tr, TString varToPlot, TString canvName, TString xAxisName, TCut cutLoose, TCut cutAdditional)
{
TTree* trCutted = tr->CopyTree(cutLoose);
TH1D* histLoose = new TH1D("hist",varToPlot,50,trCutted->GetMinimum(varToPlot)-0.1*fabs(trCutted->GetMinimum(varToPlot)),trCutted->GetMaximum(varToPlot)+0.1*fabs(trCutted->GetMaximum(varToPlot)));
trCutted->Draw(varToPlot+TString(">>hist"),"1","goff");
TCanvas* canv = new TCanvas(canvName,canvName);
//TAxis* xAxis = histLoose->GetXaxis();
histLoose->GetXaxis()->SetTitle(xAxisName);
histLoose->GetYaxis()->SetRangeUser(0,histLoose->GetMaximumStored());
histLoose->SetFillStyle(3004);
histLoose->SetFillColor(2);
histLoose->Draw();
trCutted->SetFillStyle(1001);
trCutted->SetFillColor(3);
trCutted->Draw(varToPlot,cutAdditional,"same");
canv->SaveAs(canvName+".png");
delete histLoose;
histLoose=0;
trCutted=0;
//xAxis=0;
}
void plot(TString var, TString varlatex, TString varname, Int_t nbins, Double_t vmin, Double_t vmax)
{
cout<<"---- Processing - "<<var<<endl;
cout<<" -- Fill histograms"<<endl;
TFile* ifBkg = new TFile(infnameBkg[isChannel]);
TTree* ntBkg = (TTree*)ifBkg->Get(texNtuple[isChannel]);
ntBkg->AddFriend("ntHlt");
TFile* ifSgl = new TFile(infnameSgl[isChannel]);
TTree* ntSgl = (TTree*)ifSgl->Get(texNtuple[isChannel]);
ntSgl->AddFriend("ntHlt");
ntSgl->AddFriend("ntHi");
TH1D* hBkg = new TH1D(Form("hBkg_%s",varname.Data()),"",nbins,vmin,vmax);
TH1D* hSgl = new TH1D(Form("hSgl_%s",varname.Data()),"",nbins,vmin,vmax);
ntBkg->Project(Form("hBkg_%s",varname.Data()),var,Form("%s&&%s",selTriggerBkg[isChannel].Data(),selBkg[isChannel].Data()));
ntSgl->Project(Form("hSgl_%s",varname.Data()),var,TCut(weight[isChannel])*Form("%s&&%s",selTriggerSgl[isChannel].Data(),selSgl[isChannel].Data()));
cout<<" -- Calculate normalization"<<endl;
Double_t normBkg=0,normSgl=0;
//normBkg = hBkg->GetEntries();
//normSgl = hSgl->GetEntries();
normBkg = hBkg->Integral(vmin,vmax);
normSgl = hSgl->Integral(vmin,vmax);
cout<<" normBkg: "<<normBkg<<" ; normSgl: "<<normSgl<<endl;
cout<<" -- Normalize histograms"<<endl;
hBkg->Scale(1./normBkg);
hSgl->Scale(1./normSgl);
cout<<" -- Plot"<<endl;
hBkg->SetXTitle(varlatex);
hBkg->SetYTitle("#Probability");
hBkg->SetTitleOffset(1.5,"Y");
Double_t hisMax = (hBkg->GetMaximum()>hSgl->GetMaximum())?hBkg->GetMaximum():hSgl->GetMaximum();
hBkg->SetMaximum(hisMax*1.2);
hBkg->SetLineColor(kBlue+1);
hBkg->SetFillStyle(1001);
hBkg->SetFillColor(kBlue-9);
hBkg->SetLineWidth(3);
hBkg->SetStats(0);
TH1D* hSglplot = new TH1D(Form("hSglplot_%s",varname.Data()),"",nbins,vmin,vmax);
for(int ib=0;ib<nbins;ib++) hSglplot->SetBinContent(ib+1,hSgl->GetBinContent(ib+1));
hSglplot->SetLineColor(kRed);
hSglplot->SetFillStyle(3004);
hSglplot->SetFillColor(kRed);
hSglplot->SetLineWidth(3);
hSglplot->SetStats(0);
TCanvas* c = new TCanvas(Form("c_%s",varname.Data()),"",600,600);
hBkg->Draw();
hSglplot->Draw("same");
cout<<" -- Plot legends"<<endl;
TLatex* tex = new TLatex(0.18,0.935,Form("5.02TeV %s",texPP[isChannel].Data()));
tex->SetNDC();
tex->SetTextFont(42);
tex->SetTextSize(0.055);
tex->Draw();
TLatex* texp;
texp = new TLatex(0.68,0.935,texDecay[isChannel]);
texp->SetNDC();
texp->SetTextFont(42);
texp->SetTextSize(0.055);
texp->Draw();
TLegend* leg = new TLegend(0.56,0.70,0.86,0.86);
leg->AddEntry(hBkg,"Background","f");
leg->AddEntry(hSglplot,"Signal","f");
leg->SetBorderSize(0);
leg->SetFillStyle(0);
leg->Draw("same");
cout<<" -- Save plots"<<endl;
c->SaveAs(Form("plots/%s_%s/c_%s.pdf",texPP[isChannel].Data(),texNtuple[isChannel].Data(),varname.Data()));
cout<<endl;
}
void draw_from_trees(TString var, TCut other_cuts,
TString weights, TString title, int nbinsx,
double xlow, double xup,
TString options="plotSig:plotLog:plotData",
double cut_low=-1, double cut_high=-1,
TString plot_title="default")
{
bool plotSig = options.Contains("plotSig") && (!options.Contains("!plotSig"));
bool plotLog = options.Contains("plotLog") && (!options.Contains("!plotLog"));
bool plotData = options.Contains("plotData") && (!options.Contains("!plotData"));
bool sigStack = options.Contains("sigStack") && (!options.Contains("!sigStack"));
// Book histograms
TH1D * httbar = new TH1D("ttbar" , title, nbinsx, xlow, xup);
TH1D * hqcd = new TH1D("qcd" , title, nbinsx, xlow, xup);
TH1D * hznn = new TH1D("znn" , title, nbinsx, xlow, xup);
TH1D * hwjets = new TH1D("wjets" , title, nbinsx, xlow, xup);
TH1D * hother = new TH1D("other" , title, nbinsx, xlow, xup);
TH1D * hmc_exp = new TH1D("mc_exp" , title, nbinsx, xlow, xup);
TH1D * hsingle_top = new TH1D("single_top" , title, nbinsx, xlow, xup);
TH1D * ht1bbbb_1500_100 = new TH1D("t1bbbb_1500_100" , title, nbinsx, xlow, xup);
TH1D * ht1bbbb_1000_900 = new TH1D("t1bbbb_1000_900" , title, nbinsx, xlow, xup);
TH1D * ht1tttt_1500_100 = new TH1D("t1tttt_1500_100" , title, nbinsx, xlow, xup);
TH1D * ht1tttt_1200_800 = new TH1D("t1tttt_1200_800" , title, nbinsx, xlow, xup);
TH1D * ht1qqqq_1400_100 = new TH1D("t1qqqq_1400_100" , title, nbinsx, xlow, xup);
TH1D * ht1qqqq_1000_800 = new TH1D("t1qqqq_1000_800" , title, nbinsx, xlow, xup);
// Format cuts
TCut cut(other_cuts);
// TCut ttbar_weight("(weightppb*4000)/top_pt_weight_official");
TCut ttbar_weight("(3.17760399999999981e-05*4000)");
cout << "Filling histograms for " << var.Data() << endl;
ttbar_ch->Project("ttbar",var,(cut)*ttbar_weight);
qcd_ch->Project("qcd",var,cut*weights);
znn_ch->Project("znn",var,cut*weights);
wjets_ch->Project("wjets",var,(cut)*weights);
other_ch->Project("other",var,cut*weights);
single_top_ch->Project("single_top",var,cut*weights);
t1bbbb_1500_100_ch->Project("t1bbbb_1500_100",var,(cut)*weights);
t1bbbb_1000_900_ch->Project("t1bbbb_1000_900",var,(cut)*weights);
t1tttt_1500_100_ch->Project("t1tttt_1500_100",var,(cut)*weights);
t1tttt_1200_800_ch->Project("t1tttt_1200_800",var,(cut)*weights);
t1qqqq_1400_100_ch->Project("t1qqqq_1400_100",var,(cut)*weights);
t1qqqq_1000_800_ch->Project("t1qqqq_1000_800",var,(cut)*weights);
bool addOverflow(true);
Double_t e_overflow(0.), i_overflow(0.);
if (addOverflow) {
i_overflow=httbar->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
httbar->SetBinContent(nbinsx, i_overflow);
httbar->SetBinError(nbinsx, e_overflow);
i_overflow=hqcd->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
hqcd->SetBinContent(nbinsx, i_overflow);
hqcd->SetBinError(nbinsx, e_overflow);
i_overflow=hznn->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
hznn->SetBinContent(nbinsx, i_overflow);
hznn->SetBinError(nbinsx, e_overflow);
i_overflow=hwjets->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
hwjets->SetBinContent(nbinsx, i_overflow);
hwjets->SetBinError(nbinsx, e_overflow);
i_overflow=hsingle_top->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
hsingle_top->SetBinContent(nbinsx, i_overflow);
hsingle_top->SetBinError(nbinsx, e_overflow);
i_overflow=hother->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
hother->SetBinContent(nbinsx, i_overflow);
hother->SetBinError(nbinsx, e_overflow);
i_overflow=ht1bbbb_1500_100->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
ht1bbbb_1500_100->SetBinContent(nbinsx, i_overflow);
ht1bbbb_1500_100->SetBinError(nbinsx, e_overflow);
i_overflow=ht1bbbb_1000_900->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
ht1bbbb_1000_900->SetBinContent(nbinsx, i_overflow);
ht1bbbb_1000_900->SetBinError(nbinsx, e_overflow);
i_overflow=ht1tttt_1500_100->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
ht1tttt_1500_100->SetBinContent(nbinsx, i_overflow);
ht1tttt_1500_100->SetBinError(nbinsx, e_overflow);
i_overflow=ht1tttt_1200_800->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
ht1tttt_1200_800->SetBinContent(nbinsx, i_overflow);
ht1tttt_1200_800->SetBinError(nbinsx, e_overflow);
i_overflow=ht1qqqq_1400_100->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
ht1qqqq_1400_100->SetBinContent(nbinsx, i_overflow);
ht1qqqq_1400_100->SetBinError(nbinsx, e_overflow);
i_overflow=ht1qqqq_1000_800->IntegralAndError(nbinsx,nbinsx+1,e_overflow);
ht1qqqq_1000_800->SetBinContent(nbinsx, i_overflow);
ht1qqqq_1000_800->SetBinError(nbinsx, e_overflow);
}
// Add up MC histograms
hmc_exp->Add(httbar);
hmc_exp->Add(hqcd);
hmc_exp->Add(hznn);
hmc_exp->Add(hwjets);
hmc_exp->Add(hsingle_top);
hmc_exp->Add(hother);
double binwidth = (xup - xlow) / nbinsx;
TString ytitle = Form("Events / %.3f", binwidth);
hmc_exp->GetXaxis()->SetTitle(httbar->GetXaxis()->GetTitle());
hmc_exp->GetYaxis()->SetTitle(ytitle);
cout << "... DONE: add all backgrounds to mc_exp." << endl;
Double_t ttbar_e(0.), qcd_e(0.), znn_e(0.), wjets_e(0.), other_e(0.), single_top_e(0.), bg_tot_e(0.), t1tttt_1500_100_e(0.);
double ttbar_n(httbar->IntegralAndError(0,nbinsx+1, ttbar_e));
double qcd_n(hqcd->IntegralAndError(0,nbinsx+1, qcd_e));
double znn_n(hznn->IntegralAndError(0,nbinsx+1, znn_e));
double wjets_n(hwjets->IntegralAndError(0,nbinsx+1, wjets_e));
double other_n(hother->IntegralAndError(0,nbinsx+1, other_e));
double single_top_n(hsingle_top->IntegralAndError(0,nbinsx+1, single_top_e));
double bg_tot(hmc_exp->IntegralAndError(0,nbinsx+1, bg_tot_e));
double t1tttt_1500_100_n(ht1tttt_1500_100->IntegralAndError(0,nbinsx+1, t1tttt_1500_100_e));
printf("Counts before cut: %s\n",var.Data());
printf("&ttbar&qcd&znn&wjets&single top&other&t1bbbb_1500_100\\\\ \n");
printf("%s & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f & %3.2f+-%3.2f \\\\\n",
var.Data(),
ttbar_n,ttbar_e,
qcd_n,qcd_e,
znn_n,znn_e,
wjets_n,wjets_e,
single_top_n,single_top_e,
other_n,other_e,
// hmc_exp->GetBinContent(1), hmc_exp->GetBinError(1),
bg_tot,bg_tot_e,
t1tttt_1500_100_n,t1tttt_1500_100_e);
cout << "... DONE: filled histograms." << endl;
if (sigStack) {
for (int bin(0); bin<nbinsx; bin++) {
ht1bbbb_1500_100->SetBinContent(bin+1, hmc_exp->GetBinContent(bin+1));
ht1bbbb_1000_900->SetBinContent(bin+1, hmc_exp->GetBinContent(bin+1));
ht1tttt_1500_100->SetBinContent(bin+1, hmc_exp->GetBinContent(bin+1));
ht1tttt_1200_800->SetBinContent(bin+1, hmc_exp->GetBinContent(bin+1));
}
}
THStack * hs = new THStack("hs", "");
hs->Add(hother);
hs->Add(hsingle_top);
hs->Add(hwjets);
hs->Add(hznn);
if (httbar->Integral()>hqcd->Integral()) {
hs->Add(hqcd);
hs->Add(httbar);
} else {
hs->Add(httbar);
hs->Add(hqcd);
}
//hs->GetYaxis()->SetTitle("Events / 5 fb^{-1}");
//hs->GetXaxis()->SetTitle(httbar->GetXaxis()->GetTitle());
// Setup histogram styles
set_style(httbar, "ttbar");
set_style(hqcd, "qcd");
set_style(hznn, "znn");
set_style(hwjets, "wjets");
set_style(hother, "other");
set_style(hsingle_top, "single_top");
// Setup auxiliary histograms (ratios, errors, etc)
TH1D * staterr = (TH1D *) hmc_exp->Clone("staterr");
staterr->Sumw2();
//staterr->SetFillColor(kRed);
staterr->SetFillColor(kGray+3);
staterr->SetMarkerSize(0);
staterr->SetFillStyle(3013);
// Setup legends
TLegend * leg1 = new TLegend(0.48, 0.6, 0.72, 0.92);
set_style(leg1,0.025);
if (plotData) leg1->AddEntry(hsingle_top, "Data", "pel");
if (plotSig) {
leg1->AddEntry(ht1bbbb_1500_100, "#splitline{T1bbbb}{(1500,100) GeV}", "l");
leg1->AddEntry(ht1bbbb_1000_900, "#splitline{T1bbbb}{(1000,900) GeV}", "l");
leg1->AddEntry(ht1tttt_1500_100, "#splitline{T1tttt}{(1500,100) GeV}", "l");
leg1->AddEntry(ht1tttt_1200_800, "#splitline{T1tttt}{(1200,800) GeV}", "l");
leg1->AddEntry(ht1qqqq_1400_100, "#splitline{T1qqqq}{(1400,100) GeV}", "l");
leg1->AddEntry(ht1qqqq_1000_800, "#splitline{T1qqqq}{(1000,800) GeV}", "l");
}
TLegend * leg2 = new TLegend(0.72, 0.6, 0.94, 0.92);
set_style(leg2,0.025);
if (httbar->Integral()>hqcd->Integral()) {
leg2->AddEntry(httbar, "t#bar{t}", "f");
leg2->AddEntry(hqcd, "QCD", "f");
} else {
leg2->AddEntry(hqcd, "QCD", "f");
leg2->AddEntry(httbar, "t#bar{t}", "f");
}
leg2->AddEntry(hznn, "Z+jets", "f");
leg2->AddEntry(hwjets, "W+jets", "f");
leg2->AddEntry(hsingle_top, "Single Top", "f");
leg2->AddEntry(hother, "Other", "f");
leg2->AddEntry(staterr, "MC uncert.", "f");
double ymax = hs->GetMaximum();
if (ht1tttt_1500_100->GetMaximum()>ymax) ymax=ht1tttt_1500_100->GetMaximum();
if (ht1bbbb_1500_100->GetMaximum()>ymax) ymax=ht1bbbb_1500_100->GetMaximum();
if (ht1qqqq_1400_100->GetMaximum()>ymax) ymax=ht1qqqq_1400_100->GetMaximum();
if(plotLog) {
hs->SetMaximum(200*ymax);
hs->SetMinimum(0.1);
}
else {
hs->SetMaximum(2*ymax);
if (plot_title.Contains("baseline")) hs->SetMaximum(1.3*ymax);
}
// Vertical lines for cuts
TLine* line_low = new TLine(cut_low,0,cut_low,1.5*ymax);
TLine* line_high = new TLine(cut_high,0,cut_high,1.5*ymax);
set_style(line_low);
set_style(line_high);
// Setup canvas and pads
TCanvas * c1 = new TCanvas("c1", "c1", 700, 700);
TPad * pad1 = new TPad("pad1", "top pad" , 0.0, 0.3, 1.0, 1.0);
TPad * pad2 = new TPad("pad2", "bottom pad", 0.0, 0.0, 1.0, 0.3);
if(plotData) {
pad1->SetBottomMargin(0.0);
pad1->Draw();
pad2->SetTopMargin(0.0);
pad2->SetBottomMargin(0.35);
pad2->Draw();
pad1->cd();
pad1->SetLogy(plotLog);
}
else {
c1->cd();
c1->SetLogy(plotLog);
}
// Draw hists
hs->Draw("hist");
hs->SetTitle(hmc_exp->GetTitle());
hs->GetXaxis()->SetTitle(httbar->GetXaxis()->GetTitle());
hs->GetYaxis()->SetTitle(ytitle);
hs->GetXaxis()->SetLabelSize(0.03);
hs->GetYaxis()->SetLabelSize(0.03);
if (plotData)
{
// hsingle_top->Draw("e1 same");
hs->GetXaxis()->SetLabelSize(0);
}
staterr->Draw("e2 same");
if (plotSig) {
ht1bbbb_1500_100->SetLineColor(2);
ht1bbbb_1500_100->SetLineWidth(4);
ht1bbbb_1500_100->SetFillColor(0);
ht1bbbb_1000_900->SetLineColor(2);
ht1bbbb_1000_900->SetLineWidth(4);
ht1bbbb_1000_900->SetLineStyle(7);
ht1bbbb_1000_900->SetFillColor(0);
ht1tttt_1500_100->SetLineColor(kGreen);
ht1tttt_1500_100->SetLineWidth(4);
ht1tttt_1500_100->SetFillColor(0);
ht1tttt_1200_800->SetLineColor(kGreen);
ht1tttt_1200_800->SetLineStyle(7);
ht1tttt_1200_800->SetLineWidth(4);
ht1tttt_1200_800->SetFillColor(0);
ht1qqqq_1400_100->SetLineColor(1006);
ht1qqqq_1400_100->SetLineWidth(4);
ht1qqqq_1400_100->SetFillColor(0);
ht1qqqq_1000_800->SetLineColor(1006);
ht1qqqq_1000_800->SetLineWidth(4);
ht1qqqq_1000_800->SetLineStyle(7);
ht1qqqq_1000_800->SetFillColor(0);
ht1bbbb_1500_100->Draw("hist same");
ht1bbbb_1000_900->Draw("hist same");
ht1tttt_1500_100->Draw("hist same");
ht1tttt_1200_800->Draw("hist same");
ht1qqqq_1400_100->Draw("hist same");
ht1qqqq_1000_800->Draw("hist same");
}
if (cut_low>0) line_low->Draw("same");
if (cut_high>0) line_high->Draw("same");
// Draw legends
leg1->Draw();
leg2->Draw();
TLatex * latex = new TLatex();
latex->SetNDC();
latex->SetTextAlign(12);
latex->SetTextFont(62);
latex->SetTextSize(0.042);
latex->DrawLatex(0.19, 0.89, "CMS Simulation");
latex->SetTextSize(0.03);
latex->DrawLatex(0.19, 0.84, "#sqrt{s} = 13 TeV, L = 4 fb^{-1}");
// Print
cout << "MakePlots(): Printing..." << endl;
c1->cd();
if (plot_title.EqualTo("default")) plot_title=plotdir+var;
gPad->Print(plotdir+plot_title+".pdf");
// Clean up
delete staterr;
delete leg1;
delete leg2;
delete latex;
// delete pave;
delete hs;
delete pad1;
delete pad2;
delete c1;
delete httbar;
delete hqcd;
delete hznn;
delete hwjets;
delete hsingle_top;
delete hother;
delete hmc_exp;
delete ht1bbbb_1500_100;
delete ht1bbbb_1000_900;
delete ht1tttt_1500_100;
delete ht1tttt_1200_800;
delete ht1qqqq_1400_100;
delete ht1qqqq_1000_800;
cout << "MakePlots(): DONE!" << endl;
return;
}
void plot_stuff(){
gStyle->SetOptStat(0);
gStyle->SetOptTitle(0);
gROOT->ForceStyle();
TFile *in = TFile::Open("IncLusive_Plots_vmd.root");
TH1D *hIVEpEmGam = (TH1D*)in->Get("hIVEpEmGam");
TH1D *hIVEpEmGam_cut = (TH1D*)in->Get("hIVEpEmGam_cut");
hIVEpEmGam->SetLineColor(kBlack);
hIVEpEmGam->SetStats(false);
hIVEpEmGam_cut->SetStats(false);
hIVEpEmGam->GetXaxis()->SetTitle("M(e^{+}e^{-}#gamma) [GeV]");
hIVEpEmGam->GetXaxis()->SetTitleSize(0.05);
hIVEpEmGam->GetXaxis()->SetTitleOffset(0.8);
hIVEpEmGam->GetYaxis()->SetTitle("Counts / 35.5 MeV");
hIVEpEmGam->GetYaxis()->SetTitleSize(0.05);
hIVEpEmGam->GetYaxis()->SetTitleOffset(1.0);
hIVEpEmGam->SetLineWidth(2);
hIVEpEmGam_cut->SetLineColor(kRed);
hIVEpEmGam_cut->SetFillColor(kRed);
hIVEpEmGam_cut->SetFillStyle(3001);
TH1D *hMMPEmX = (TH1D*)in->Get("hMMPEmX");
TH1D *hMMPEmX_cut = (TH1D*)in->Get("hMMPEmX_cut");
hMMPEmX->SetLineColor(kBlack);
hMMPEmX->SetLineWidth(2);
hMMPEmX->GetXaxis()->SetTitle("M_{x}(pe^{-}) [GeV]");
hMMPEmX->SetStats(false);
hMMPEmX_cut->SetStats(false);
hMMPEmX->GetXaxis()->SetTitleSize(0.05);
hMMPEmX->GetXaxis()->SetTitleOffset(0.8);
hMMPEmX->GetYaxis()->SetTitle("Counts / 35.5 MeV");
hMMPEmX->GetYaxis()->SetTitleSize(0.05);
hMMPEmX->GetYaxis()->SetTitleOffset(1.0);
hMMPEmX_cut->SetLineColor(kRed);
hMMPEmX_cut->SetFillColor(kRed);
hMMPEmX_cut->SetFillStyle(3001);
TH1D *IVrest = (TH1D*)hIVEpEmGam->Clone();
int critIVbin = IVrest->GetXaxis()->FindFixBin(1.5);
TH1D *MMrest = (TH1D*)hMMPEmX->Clone();
int critMMbin = MMrest->GetXaxis()->FindFixBin(1.2);
for(int i=1;i<= IVrest->GetNbinsX();i++){
if(i<critIVbin){
IVrest->SetBinContent(i,0);
}
}
IVrest->SetFillStyle(3001);
IVrest->SetFillColor(8);
IVrest->SetLineColor(8);
for(int i=1;i<= MMrest->GetNbinsX();i++){
if(i>critMMbin){
MMrest->SetBinContent(i,0);
}
}
MMrest->SetFillStyle(3001);
MMrest->SetFillColor(8);
MMrest->SetLineColor(8);
TLegend *leg1 = new TLegend(0.25,0.7,0.9,0.9);
leg1->SetFillColor(0);
leg1->AddEntry(IVrest,"Select e^{-}' from e^{-}p#rightarrow e^{-}'pX");
leg1->AddEntry(hIVEpEmGam_cut,"Select e^{-} from #eta'#rightarrow e^{+}e^{-}#gamma");
TLegend *leg2 = new TLegend(0.25,0.7,0.9,0.9);
leg2->SetFillColor(0);
leg2->AddEntry(MMrest,"Select e^{-}' from e^{-}p#rightarrow e^{-}'pX");
leg2->AddEntry(hMMPEmX_cut,"Select e^{-} from #eta'#rightarrow e^{+}e^{-}#gamma");
TCanvas *c = new TCanvas("c","",1200,500);
c->Divide(2);
c->cd(1);
//IVrest->Draw();
hIVEpEmGam->Draw();
fitMKVoight(hIVEpEmGam, 0.6, 2.1, 0, 0, 0, 0, 0.957, 0.01, 0.001, 2.5, 1);
hIVEpEmGam_cut->Draw("same");
//hIVEpEmGam->Draw("same");
IVrest->Draw("same");
leg1->Draw("same");
c->cd(2);
MMrest->Draw();
fitMKVoight(hMMPEmX, 0.6, 2.1, 0, 0, 0, 0, 0.957, 0.01, 0.001, 2.5, 1);
hMMPEmX_cut->Draw("same");
hMMPEmX->Draw("same");
leg2->Draw("same");
c->cd();
TH1D *hIVEpEm = (TH1D*)in->Get("hIVEpEm");
TH1D *hIVEpEm_cut = (TH1D*)in->Get("hIVEpEm_cut");
TH1D *hEpEm_contam = (TH1D*)in->Get("hEpEm_contam");
hIVEpEm->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hIVEpEm->GetXaxis()->SetTitleSize(0.05);
hIVEpEm->GetXaxis()->SetTitleOffset(0.8);
hIVEpEm->GetYaxis()->SetTitle("Counts / 40 MeV");
hIVEpEm->GetYaxis()->SetTitleSize(0.05);
hIVEpEm->GetYaxis()->SetTitleOffset(0.8);
hIVEpEm->SetLineColor(kBlack);
hIVEpEm->SetLineWidth(2);
hIVEpEm_cut->SetLineColor(kRed);
hIVEpEm_cut->SetFillColor(kRed);
hIVEpEm_cut->SetFillStyle(3001);
hEpEm_contam->SetLineColor(8);
hEpEm_contam->SetFillColor(8);
hEpEm_contam->SetFillStyle(3001);
TLegend *leg3 = new TLegend(0.6,0.6,0.9,0.9);
leg3->SetFillColor(0);
leg3->AddEntry(hIVEpEm_cut,"Select e^{-} from #eta'#rightarrowe^{+}e^{-}#gamma");
leg3->AddEntry(hEpEm_contam,"Select e^{-}' from e^{-}p#rightarrow e^{-}'pX");
TCanvas *c2 = new TCanvas("c2","",1);
hIVEpEm->Draw();
hIVEpEm_cut->Rebin(4);
hIVEpEm_cut->Draw("same");
hEpEm_contam->Rebin(4);
hEpEm_contam->Draw("same");
hIVEpEm->Draw("same");
leg3->Draw("same");
c2->SetLogy();
TH1D *hEmP = (TH1D*)in->Get("hEmP");
TH1D *hEmP_cut = (TH1D*)in->Get("hEmP_cut");
hEmP->GetXaxis()->SetTitle("Momentum of e^{-} [GeV/c]");
hEmP->GetXaxis()->SetTitleSize(0.05);
hEmP->GetXaxis()->SetTitleOffset(0.8);
hEmP->GetYaxis()->SetTitle("Counts / 110 MeV");
hEmP->GetYaxis()->SetTitleSize(0.05);
hEmP->GetYaxis()->SetTitleOffset(0.8);
hEmP->SetLineColor(kBlack);
hEmP->SetLineWidth(2);
hEmP_cut->SetLineColor(kRed);
hEmP_cut->SetFillColor(kRed);
hEmP_cut->SetFillStyle(3001);
TLegend *leg4 = new TLegend(0.6,0.6,0.9,0.9);
leg4->SetFillStyle(0);
leg4->AddEntry(hEmP_cut,"Select e^{-} from #eta'#rightarrow e^{+}e^{-}#gamma");
TCanvas *c3 = new TCanvas("c3","",1);
hEmP->Draw();
hEmP_cut->Draw("same");
leg4->Draw("same");
c3->cd();
//MK stuff
/*
TCanvas *cmkII = new TCanvas("cmkII","cmkII",1200,500);
//cmkII->Divide(1,2);
cmkII->cd();
cmkII->SetLogy();
TH1D *hIVEpEm_cut_clone = (TH1D*)in->Get("hIVEpEm_cut_clone");
hIVEpEm_cut_clone->SetLineColor(kRed);
hIVEpEm_cut_clone->SetYTitle("Expected Counts / 10 MeV");
hIVEpEm_cut_clone->GetYaxis()->SetTitleSize(0.05);
hIVEpEm_cut_clone->GetYaxis()->SetTitleOffset(0.8);
hIVEpEm_cut_clone->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hIVEpEm_cut_clone->GetXaxis()->SetTitleSize(0.05);
hIVEpEm_cut_clone->GetXaxis()->SetTitleOffset(0.8);
TH1D *hEpEm_corrected = (TH1D*)in->Get("hEpEm_corrected");
hEpEm_corrected->SetYTitle("Counts / 10 MeV");
hEpEm_corrected->GetYaxis()->SetTitleSize(0.05);
hEpEm_corrected->GetYaxis()->SetTitleOffset(0.8);
hEpEm_corrected->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_corrected->GetXaxis()->SetTitleSize(0.05);
hEpEm_corrected->Draw("EP");
hIVEpEm_cut_clone->Draw("EP same");
TLegend *legmkII = new TLegend(0.45,0.7,0.9,0.9);
legmkII->SetTextSize(0.05);
legmkII->SetFillColor(0);
legmkII->AddEntry(hIVEpEm_cut_clone,"Expected counts in 80 days","l");
legmkII->AddEntry(hEpEm_corrected,"Accepted corrected counts in 80 days","l");
legmkII->Draw("same");
TCanvas *cmkIII = new TCanvas("cmkIII","cmkIII",1200,500);
cmkIII->cd();
TH1D *hEpEm_acceptance = (TH1D*)in->Get("hEpEm_acceptance");
hEpEm_acceptance->SetLineColor(kRed);
hEpEm_acceptance->SetYTitle("Acceptance / 10 MeV");
hEpEm_acceptance->GetYaxis()->SetTitleSize(0.05);
hEpEm_acceptance->GetYaxis()->SetTitleOffset(0.8);
hEpEm_acceptance->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_acceptance->GetXaxis()->SetTitleSize(0.05);
hEpEm_acceptance->GetXaxis()->SetTitleOffset(0.8);
TH1D *hEpEm_acceptance_flat = (TH1D*)inflat->Get("hEpEm_acceptance");
hEpEm_acceptance_flat->SetYTitle("Acceptance / 10 MeV");
hEpEm_acceptance_flat->GetYaxis()->SetTitleSize(0.05);
hEpEm_acceptance_flat->GetYaxis()->SetTitleOffset(0.8);
hEpEm_acceptance_flat->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_acceptance_flat->GetXaxis()->SetTitleSize(0.05);
hEpEm_acceptance_flat->GetXaxis()->SetTitleOffset(0.8);
hEpEm_acceptance->GetYaxis()->SetRangeUser(0,0.16);
hEpEm_acceptance->Draw("EP");
hEpEm_acceptance_flat->Draw("EP same");
TLegend *legmkIII = new TLegend(0.11,0.7,0.45,0.9);
legmkIII->SetTextSize(0.05);
legmkIII->SetFillColor(0);
legmkIII->AddEntry(hEpEm_acceptance,"QED+VMD M(e^{+}e^{-}) Acceptance","l");
legmkIII->AddEntry(hEpEm_acceptance_flat,"Flat M(e^{+}e^{-}) Acceptance","l");
legmkIII->Draw("same");
//
double QED_par[8] = {0.957}; //{Mass}
TF1 *QED_norm = new TF1("QED_norm",Eval_Kroll_wada,0.,1.,1);
QED_norm->SetParameters(&QED_par[0]);
TH1D *hEpEm_corrected_flat = new TH1D("hEpEm_corrected_flat","hEpEm_corrected_flat",100,0.0,1);
TH1D *hEpEm_QEDnorm_flat = new TH1D("hEpEm_QEDnorm_flat","hEpEm_QEDnorm_flat",100,0.0,1);
for (int i = 1; i<hIVEpEm_cut_clone->GetNbinsX(); i++) {
Double_t bin_factor = 1.65; //this needs to be solved at somepoint
Double_t intotal_acceptance = hEpEm_acceptance_flat->GetBinContent(i)*bin_factor;
Double_t intotal_events_upper;
if (intotal_acceptance == 0) {
intotal_events_upper = 0;
}else{
intotal_events_upper = hIVEpEm_cut_clone->GetBinContent(i)/intotal_acceptance;
}
hEpEm_corrected_flat->SetBinContent(i,intotal_events_upper);
hEpEm_corrected_flat->SetBinError(i,sqrt(intotal_events_upper));
Double_t QED_factor = QED_norm->Eval(hIVEpEm_cut_clone->GetBinCenter(i));//2.0e-06;
hEpEm_QEDnorm_flat->SetBinContent(i,intotal_events_upper/QED_factor);
//hEpEm_QEDnorm->SetBinError(i,sqrt(intotal_events_upper/QED_factor));
}
//
double pole_par[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
TF1 *FF_fittepole = new TF1("FF_fittepole", Pole_FFII,0.02,0.92,3);
FF_fittepole->SetParameters(&pole_par[0]);
FF_fittepole->SetParLimits(0,0.,100.);
FF_fittepole->SetParLimits(1,pole_par[1] - pole_par[1]*0.1,pole_par[1] + pole_par[1]*0.1);
FF_fittepole->SetParLimits(2,pole_par[2] - pole_par[2]*0.5,pole_par[2] + pole_par[2]*0.5);
//for flat
double pole_parII[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
TF1 *FF_fittepoleII = new TF1("FF_fittepoleII", Pole_FFII,0.02,0.85,3);
FF_fittepoleII->SetParameters(&pole_parII[0]);
FF_fittepoleII->SetParLimits(0,0.,100.);
FF_fittepoleII->SetParLimits(1,pole_parII[1] - pole_parII[1]*0.1,pole_parII[1] + pole_parII[1]*0.1);
FF_fittepoleII->SetParLimits(2,pole_parII[2] - pole_parII[2]*0.5,pole_parII[2] + pole_parII[2]*0.5);
FF_fittepoleII->SetLineColor(kBlue);
//TF1 *FF_fitterGaus = new TF1("FF_fitterGaus","gaus",0.55,0.92);
TCanvas *cmkI = new TCanvas("cmkI","cmkI",1200,500);
TH1D *hEpEm_QEDnorm = (TH1D*)in->Get("hEpEm_QEDnorm");
cmkI->cd();
hEpEm_QEDnorm->SetTitle("Expected distribution of |F(q^{2})|^{2}");
hEpEm_QEDnorm->SetLineColor(kBlack);
hEpEm_QEDnorm->SetYTitle("|F(q^{2})|^{2}");
hEpEm_QEDnorm->GetYaxis()->SetTitleSize(0.05);
hEpEm_QEDnorm->GetYaxis()->SetTitleOffset(0.8);
hEpEm_QEDnorm->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_QEDnorm->GetXaxis()->SetTitleSize(0.05);
hEpEm_QEDnorm->GetXaxis()->SetTitleOffset(0.8);
hEpEm_QEDnorm->Draw("EP");
hEpEm_QEDnorm_flat->SetLineColor(8);
hEpEm_QEDnorm_flat->Draw("EP same");
hEpEm_QEDnorm_flat->Fit("FF_fittepoleII","REM");
hEpEm_QEDnorm->Fit("FF_fittepole","REM+");
Double_t Lambda = FF_fittepole->GetParameter(1);
Double_t Lambdaerr = FF_fittepole->GetParError(1);
Double_t bn = 1./Lambda;
Double_t bn_err = Lambdaerr/(bn*bn);
Double_t Lambda_flat = FF_fittepoleII->GetParameter(1);
Double_t Lambdaerr_flat = FF_fittepoleII->GetParError(1);
Double_t bn_flat = 1./Lambda_flat;
Double_t bn_err_flat = Lambdaerr_flat/(bn_flat*bn_flat);
TString sLambda = Form("#Lambda^{2}_{fit} = %2.4f #pm %2.4f ", Lambda,Lambdaerr);
TString sbn = Form("b_{n} = %2.4f #pm %2.4f ", bn,bn_err);
TString sLambda_gen = Form("#Lambda^{2}_{gen} = %2.4f ", 0.5776);
TString sbn_gen = Form("b_{n gen} = %2.4f ", 1./0.5776);
TString sLambda_flat = Form("#Lambda^{2}_{fit} = %2.4f #pm %2.4f ", Lambda_flat,Lambdaerr_flat);
TString sbn_flat = Form("b_{n} = %2.4f #pm %2.4f ", bn_flat,bn_err_flat);
>>>>>>> master
TCanvas *cmkII = new TCanvas("cmkII","cmkII",1200,500);
//cmkII->Divide(1,2);
cmkII->cd();
cmkII->SetLogy();
TH1D *hIVEpEm_cut_clone = (TH1D*)in->Get("hIVEpEm_cut_clone");
hIVEpEm_cut_clone->SetLineColor(kRed);
hIVEpEm_cut_clone->SetYTitle("Expected Counts / 10 MeV");
hIVEpEm_cut_clone->GetYaxis()->SetTitleSize(0.05);
hIVEpEm_cut_clone->GetYaxis()->SetTitleOffset(0.8);
hIVEpEm_cut_clone->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hIVEpEm_cut_clone->GetXaxis()->SetTitleSize(0.05);
hIVEpEm_cut_clone->GetXaxis()->SetTitleOffset(0.8);
TH1D *hEpEm_corrected = (TH1D*)in->Get("hEpEm_corrected");
hEpEm_corrected->SetYTitle("Counts / 10 MeV");
hEpEm_corrected->GetYaxis()->SetTitleSize(0.05);
hEpEm_corrected->GetYaxis()->SetTitleOffset(0.8);
hEpEm_corrected->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_corrected->GetXaxis()->SetTitleSize(0.05);
hEpEm_corrected->Draw("EP");
hIVEpEm_cut_clone->Draw("EP same");
TLegend *legmkII = new TLegend(0.45,0.7,0.9,0.9);
legmkII->SetTextSize(0.05);
legmkII->SetFillColor(0);
legmkII->AddEntry(hIVEpEm_cut_clone,"Expected counts in 80 days","l");
legmkII->AddEntry(hEpEm_corrected,"Accepted corrected counts in 80 days","l");
legmkII->Draw("same");
TCanvas *cmkIII = new TCanvas("cmkIII","cmkIII",1200,500);
cmkIII->cd();
TH1D *hEpEm_acceptance = (TH1D*)in->Get("hEpEm_acceptance");
hEpEm_acceptance->SetLineColor(kRed);
hEpEm_acceptance->SetYTitle("Acceptance / 10 MeV");
hEpEm_acceptance->GetYaxis()->SetTitleSize(0.05);
hEpEm_acceptance->GetYaxis()->SetTitleOffset(0.8);
hEpEm_acceptance->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_acceptance->GetXaxis()->SetTitleSize(0.05);
hEpEm_acceptance->GetXaxis()->SetTitleOffset(0.8);
TH1D *hEpEm_acceptance_flat = (TH1D*)inflat->Get("hEpEm_acceptance");
hEpEm_acceptance_flat->SetYTitle("Acceptance / 10 MeV");
hEpEm_acceptance_flat->GetYaxis()->SetTitleSize(0.05);
hEpEm_acceptance_flat->GetYaxis()->SetTitleOffset(0.8);
hEpEm_acceptance_flat->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_acceptance_flat->GetXaxis()->SetTitleSize(0.05);
hEpEm_acceptance_flat->GetXaxis()->SetTitleOffset(0.8);
hEpEm_acceptance->GetYaxis()->SetRangeUser(0,0.16);
hEpEm_acceptance->Draw("EP");
hEpEm_acceptance_flat->Draw("EP same");
TLegend *legmkIII = new TLegend(0.11,0.7,0.45,0.9);
legmkIII->SetTextSize(0.05);
legmkIII->SetFillColor(0);
legmkIII->AddEntry(hEpEm_acceptance,"QED+VMD M(e^{+}e^{-}) Acceptance","l");
legmkIII->AddEntry(hEpEm_acceptance_flat,"Flat M(e^{+}e^{-}) Acceptance","l");
legmkIII->Draw("same");
//
double QED_par[8] = {0.957}; //{Mass}
TF1 *QED_norm = new TF1("QED_norm",Eval_Kroll_wada,0.,1.,1);
QED_norm->SetParameters(&QED_par[0]);
TH1D *hEpEm_corrected_flat = new TH1D("hEpEm_corrected_flat","hEpEm_corrected_flat",100,0.0,1);
TH1D *hEpEm_QEDnorm_flat = new TH1D("hEpEm_QEDnorm_flat","hEpEm_QEDnorm_flat",100,0.0,1);
for (int i = 1; i<hIVEpEm_cut_clone->GetNbinsX(); i++) {
Double_t bin_factor = 1.65; //this needs to be solved at somepoint
Double_t intotal_acceptance = hEpEm_acceptance_flat->GetBinContent(i)*bin_factor;
Double_t intotal_events_upper;
if (intotal_acceptance == 0) {
intotal_events_upper = 0;
}else{
intotal_events_upper = hIVEpEm_cut_clone->GetBinContent(i)/intotal_acceptance;
}
hEpEm_corrected_flat->SetBinContent(i,intotal_events_upper);
hEpEm_corrected_flat->SetBinError(i,sqrt(intotal_events_upper));
Double_t QED_factor = QED_norm->Eval(hIVEpEm_cut_clone->GetBinCenter(i));//2.0e-06;
hEpEm_QEDnorm_flat->SetBinContent(i,intotal_events_upper/QED_factor);
//hEpEm_QEDnorm->SetBinError(i,sqrt(intotal_events_upper/QED_factor));
}
//
double pole_par[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
TF1 *FF_fittepole = new TF1("FF_fittepole", Pole_FFII,0.02,0.92,3);
FF_fittepole->SetParameters(&pole_par[0]);
FF_fittepole->SetParLimits(0,0.,100.);
FF_fittepole->SetParLimits(1,pole_par[1] - pole_par[1]*0.1,pole_par[1] + pole_par[1]*0.1);
FF_fittepole->SetParLimits(2,pole_par[2] - pole_par[2]*0.5,pole_par[2] + pole_par[2]*0.5);
//for flat
double pole_parII[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
TF1 *FF_fittepoleII = new TF1("FF_fittepoleII", Pole_FFII,0.02,0.85,3);
FF_fittepoleII->SetParameters(&pole_parII[0]);
FF_fittepoleII->SetParLimits(0,0.,100.);
FF_fittepoleII->SetParLimits(1,pole_parII[1] - pole_parII[1]*0.1,pole_parII[1] + pole_parII[1]*0.1);
FF_fittepoleII->SetParLimits(2,pole_parII[2] - pole_parII[2]*0.5,pole_parII[2] + pole_parII[2]*0.5);
FF_fittepoleII->SetLineColor(kBlue);
//TF1 *FF_fitterGaus = new TF1("FF_fitterGaus","gaus",0.55,0.92);
TCanvas *cmkI = new TCanvas("cmkI","cmkI",1200,500);
TH1D *hEpEm_QEDnorm = (TH1D*)in->Get("hEpEm_QEDnorm");
cmkI->cd();
hEpEm_QEDnorm->SetTitle("Expected distribution of |F(q^{2})|^{2}");
hEpEm_QEDnorm->SetLineColor(kBlack);
hEpEm_QEDnorm->SetYTitle("|F(q^{2})|^{2}");
hEpEm_QEDnorm->GetYaxis()->SetTitleSize(0.05);
hEpEm_QEDnorm->GetYaxis()->SetTitleOffset(0.8);
hEpEm_QEDnorm->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_QEDnorm->GetXaxis()->SetTitleSize(0.05);
hEpEm_QEDnorm->GetXaxis()->SetTitleOffset(0.8);
hEpEm_QEDnorm->Draw("EP");
hEpEm_QEDnorm_flat->SetLineColor(8);
hEpEm_QEDnorm_flat->Draw("EP same");
hEpEm_QEDnorm_flat->Fit("FF_fittepoleII","REM");
hEpEm_QEDnorm->Fit("FF_fittepole","REM+");
Double_t Lambda = FF_fittepole->GetParameter(1);
Double_t Lambdaerr = FF_fittepole->GetParError(1);
Double_t bn = 1./Lambda;
Double_t bn_err = Lambdaerr/(bn*bn);
Double_t Lambda_flat = FF_fittepoleII->GetParameter(1);
Double_t Lambdaerr_flat = FF_fittepoleII->GetParError(1);
Double_t bn_flat = 1./Lambda_flat;
Double_t bn_err_flat = Lambdaerr_flat/(bn_flat*bn_flat);
TString sLambda = Form("#Lambda^{2}_{fit} = %2.4f #pm %2.4f ", Lambda,Lambdaerr);
TString sbn = Form("b_{n} = %2.4f #pm %2.4f ", bn,bn_err);
TString sLambda_gen = Form("#Lambda^{2}_{gen} = %2.4f ", 0.5776);
TString sbn_gen = Form("b_{n gen} = %2.4f ", 1./0.5776);
TString sLambda_flat = Form("#Lambda^{2}_{fit} = %2.4f #pm %2.4f ", Lambda_flat,Lambdaerr_flat);
TString sbn_flat = Form("b_{n} = %2.4f #pm %2.4f ", bn_flat,bn_err_flat);
TLegend *legmkII = new TLegend(0.45,0.7,0.9,0.9);
legmkII->SetTextSize(0.05);
legmkII->SetFillColor(0);
legmkII->AddEntry(hIVEpEm_cut_clone,"Expected counts in 80 days","l");
legmkII->AddEntry(hEpEm_corrected,"Accepted corrected counts in 80 days","l");
legmkII->Draw("same");
TCanvas *cmkIII = new TCanvas("cmkIII","cmkIII",1200,500);
cmkIII->cd();
TH1D *hEpEm_acceptance = (TH1D*)in->Get("hEpEm_acceptance");
hEpEm_acceptance->SetLineColor(kRed);
hEpEm_acceptance->SetYTitle("Acceptance / 10 MeV");
hEpEm_acceptance->GetYaxis()->SetTitleSize(0.05);
hEpEm_acceptance->GetYaxis()->SetTitleOffset(0.8);
hEpEm_acceptance->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_acceptance->GetXaxis()->SetTitleSize(0.05);
hEpEm_acceptance->GetXaxis()->SetTitleOffset(0.8);
TH1D *hEpEm_acceptance_flat = (TH1D*)inflat->Get("hEpEm_acceptance");
hEpEm_acceptance_flat->SetYTitle("Acceptance / 10 MeV");
hEpEm_acceptance_flat->GetYaxis()->SetTitleSize(0.05);
hEpEm_acceptance_flat->GetYaxis()->SetTitleOffset(0.8);
hEpEm_acceptance_flat->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_acceptance_flat->GetXaxis()->SetTitleSize(0.05);
hEpEm_acceptance_flat->GetXaxis()->SetTitleOffset(0.8);
hEpEm_acceptance->GetYaxis()->SetRangeUser(0,0.16);
hEpEm_acceptance->Draw("EP");
hEpEm_acceptance_flat->Draw("EP same");
TLegend *legmkIII = new TLegend(0.11,0.7,0.45,0.9);
legmkIII->SetTextSize(0.05);
legmkIII->SetFillColor(0);
legmkIII->AddEntry(hEpEm_acceptance,"QED+VMD M(e^{+}e^{-}) Acceptance","l");
legmkIII->AddEntry(hEpEm_acceptance_flat,"Flat M(e^{+}e^{-}) Acceptance","l");
legmkIII->Draw("same");
//
double QED_par[8] = {0.957}; //{Mass}
TF1 *QED_norm = new TF1("QED_norm",Eval_Kroll_wada,0.,1.,1);
QED_norm->SetParameters(&QED_par[0]);
TH1D *hEpEm_corrected_flat = new TH1D("hEpEm_corrected_flat","hEpEm_corrected_flat",100,0.0,1);
TH1D *hEpEm_QEDnorm_flat = new TH1D("hEpEm_QEDnorm_flat","hEpEm_QEDnorm_flat",100,0.0,1);
for (int i = 1; i<hIVEpEm_cut_clone->GetNbinsX(); i++) {
Double_t bin_factor = 1.65; //this needs to be solved at somepoint
Double_t intotal_acceptance = hEpEm_acceptance_flat->GetBinContent(i)*bin_factor;
Double_t intotal_events_upper;
if (intotal_acceptance == 0) {
intotal_events_upper = 0;
}else{
intotal_events_upper = hIVEpEm_cut_clone->GetBinContent(i)/intotal_acceptance;
}
hEpEm_corrected_flat->SetBinContent(i,intotal_events_upper);
hEpEm_corrected_flat->SetBinError(i,sqrt(intotal_events_upper));
Double_t QED_factor = QED_norm->Eval(hIVEpEm_cut_clone->GetBinCenter(i));//2.0e-06;
hEpEm_QEDnorm_flat->SetBinContent(i,intotal_events_upper/QED_factor);
//hEpEm_QEDnorm->SetBinError(i,sqrt(intotal_events_upper/QED_factor));
}
//
double pole_par[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
TF1 *FF_fittepole = new TF1("FF_fittepole", Pole_FFII,0.02,0.92,3);
FF_fittepole->SetParameters(&pole_par[0]);
FF_fittepole->SetParLimits(0,0.,100.);
FF_fittepole->SetParLimits(1,pole_par[1] - pole_par[1]*0.1,pole_par[1] + pole_par[1]*0.1);
FF_fittepole->SetParLimits(2,pole_par[2] - pole_par[2]*0.5,pole_par[2] + pole_par[2]*0.5);
//for flat
double pole_parII[3] = {10, 0.59,0.0144}; //{A,Lambda,Gamma}
TF1 *FF_fittepoleII = new TF1("FF_fittepoleII", Pole_FFII,0.02,0.85,3);
FF_fittepoleII->SetParameters(&pole_parII[0]);
FF_fittepoleII->SetParLimits(0,0.,100.);
FF_fittepoleII->SetParLimits(1,pole_parII[1] - pole_parII[1]*0.1,pole_parII[1] + pole_parII[1]*0.1);
FF_fittepoleII->SetParLimits(2,pole_parII[2] - pole_parII[2]*0.5,pole_parII[2] + pole_parII[2]*0.5);
FF_fittepoleII->SetLineColor(kBlue);
//TF1 *FF_fitterGaus = new TF1("FF_fitterGaus","gaus",0.55,0.92);
TCanvas *cmkI = new TCanvas("cmkI","cmkI",1200,500);
TH1D *hEpEm_QEDnorm = (TH1D*)in->Get("hEpEm_QEDnorm");
cmkI->cd();
hEpEm_QEDnorm->SetTitle("Expected distribution of |F(q^{2})|^{2}");
hEpEm_QEDnorm->SetLineColor(kBlack);
hEpEm_QEDnorm->SetYTitle("|F(q^{2})|^{2}");
hEpEm_QEDnorm->GetYaxis()->SetTitleSize(0.05);
hEpEm_QEDnorm->GetYaxis()->SetTitleOffset(0.8);
hEpEm_QEDnorm->GetXaxis()->SetTitle("M(e^{+}e^{-}) [GeV]");
hEpEm_QEDnorm->GetXaxis()->SetTitleSize(0.05);
hEpEm_QEDnorm->GetXaxis()->SetTitleOffset(0.8);
hEpEm_QEDnorm->Draw("EP");
hEpEm_QEDnorm_flat->SetLineColor(8);
hEpEm_QEDnorm_flat->Draw("EP same");
hEpEm_QEDnorm_flat->Fit("FF_fittepoleII","REM");
hEpEm_QEDnorm->Fit("FF_fittepole","REM+");
Double_t Lambda = FF_fittepole->GetParameter(1);
Double_t Lambdaerr = FF_fittepole->GetParError(1);
Double_t bn = 1./Lambda;
Double_t bn_err = Lambdaerr/(bn*bn);
Double_t Lambda_flat = FF_fittepoleII->GetParameter(1);
Double_t Lambdaerr_flat = FF_fittepoleII->GetParError(1);
Double_t bn_flat = 1./Lambda_flat;
Double_t bn_err_flat = Lambdaerr_flat/(bn_flat*bn_flat);
TString sLambda = Form("#Lambda^{2}_{fit} = %2.4f #pm %2.4f ", Lambda,Lambdaerr);
TString sbn = Form("b_{n} = %2.4f #pm %2.4f ", bn,bn_err);
TString sLambda_gen = Form("#Lambda^{2}_{gen} = %2.4f ", 0.5776);
TString sbn_gen = Form("b_{n gen} = %2.4f ", 1./0.5776);
TString sLambda_flat = Form("#Lambda^{2}_{fit} = %2.4f #pm %2.4f ", Lambda_flat,Lambdaerr_flat);
TString sbn_flat = Form("b_{n} = %2.4f #pm %2.4f ", bn_flat,bn_err_flat);
TLegend *legmkI = new TLegend(0.12,0.55,0.37,0.9);
legmkI->SetTextSize(0.04);
legmkI->SetHeader("\t QED+VMD M(e^{+}e^{-}) Acceptance");
legmkI->SetFillColor(0);
legmkI->AddEntry(FF_fittepole,sLambda,"l");
legmkI->AddEntry((TObject*)0,sbn,"");
legmkI->AddEntry((TObject*)0,sLambda_gen,"");
legmkI->AddEntry((TObject*)0,sbn_gen,"");
legmkI->Draw("same");
TLegend *legmkI_I = new TLegend(0.37,0.55,0.57,0.9);
legmkI_I->SetTextSize(0.04);
legmkI_I->SetHeader("\t Flat M(e^{+}e^{-}) Acceptance");
legmkI_I->SetFillColor(0);
legmkI_I->AddEntry(FF_fittepoleII,sLambda_flat,"l");
legmkI_I->AddEntry((TObject*)0,sbn_flat,"");
legmkI_I->AddEntry((TObject*)0,"","");
legmkI_I->AddEntry((TObject*)0,"","");
legmkI_I->Draw("same");
*/
}
void plotLeadingJet(int cbin,
TString infname,
TString pythia,
TString mix,
bool useWeight,
bool drawXLabel,
bool drawLeg)
{
TString cut="et1>120 && et2>50 && dphi>2.5";
TString cutpp="et1>120 && et2>50 && dphi>2.5";
TString cstring = "";
if(cbin==0) {
cstring = "0-10%";
cut+=" && bin>=0 && bin<4";
cut+=" && ((et1-et2)/(et1+et2) > 0.3)";
} else if (cbin==1) {
cstring = "10-30%";
cut+=" && bin>=4 && bin<12";
cut+=" && ((et1-et2)/(et1+et2) > 0.3)";
} else {
cstring = "30-100%";
cut+=" && bin>=12 && bin<40";
cut+=" && ((et1-et2)/(et1+et2) > 0.3)";
}
// open the data file
TFile *inf = new TFile(infname.Data());
TTree *nt =(TTree*)inf->FindObjectAny("nt");
// open the pythia (MC) file
TFile *infPythia = new TFile(pythia.Data());
TTree *ntPythia = (TTree*) infPythia->FindObjectAny("nt");
// open the datamix file
TFile *infMix = new TFile(mix.Data());
TTree *ntMix =(TTree*)infMix->FindObjectAny("nt");
// projection histogram
TH1D *h = new TH1D("h","",10,60,135);
TH1D *hPythia = new TH1D("hPythia","",10,60,135);
TH1D *hDataMix = new TH1D("hDataMix","",10,60,135);
nt->Draw("et2>>h",Form("(%s)",cut.Data()));
if (useWeight) {
// use the weight value caluculated by Matt's analysis macro
ntMix->Draw("et2>>hDataMix",Form("(%s)*weight",cut.Data()));
} else {
// ignore centrality reweighting
ntMix->Draw("et2>>hDataMix",Form("(%s)",cut.Data()));
}
ntPythia->Draw("et2>>hPythia",Form("(%s)",cutpp.Data()));
// calculate the statistical error and normalize
h->Sumw2();
h->Scale(1./h->GetEntries());
h->SetMarkerStyle(20);
hPythia->Scale(1./hPythia->Integral(0,20));
hPythia->SetLineColor(kBlue);
hPythia->SetFillColor(kAzure-8);
hPythia->SetFillStyle(3005);
hPythia->SetStats(0);
hPythia->Draw("hist");
if(drawXLabel) hPythia->SetXTitle("Subleading Jet E_{T} (GeV)");
hPythia->GetXaxis()->SetLabelSize(20);
hPythia->GetXaxis()->SetLabelFont(43);
hPythia->GetXaxis()->SetTitleSize(22);
hPythia->GetXaxis()->SetTitleFont(43);
hPythia->GetXaxis()->SetTitleOffset(1.5);
hPythia->GetXaxis()->CenterTitle();
hPythia->GetXaxis()->SetNdivisions(904,true);
hPythia->SetYTitle("Event Fraction");
hPythia->GetYaxis()->SetLabelSize(20);
hPythia->GetYaxis()->SetLabelFont(43);
hPythia->GetYaxis()->SetTitleSize(20);
hPythia->GetYaxis()->SetTitleFont(43);
hPythia->GetYaxis()->SetTitleOffset(2.5);
hPythia->GetYaxis()->CenterTitle();
hPythia->SetAxisRange(2E-3,3,"Y");
hDataMix->SetAxisRange(2E-3,3,"Y");
h->SetAxisRange(2E-3,3,"Y");
h->Draw("same");
hDataMix->Scale(1./hDataMix->Integral(0,20));
hDataMix->SetLineColor(kRed);
hDataMix->SetFillColor(kRed-9);
hDataMix->SetFillStyle(3004);
hDataMix->Draw("same");
if(drawLeg){
TLegend *t3=new TLegend(0.25,0.74,0.79,0.90);
t3->AddEntry(h,"Pb+Pb #sqrt{s}_{_{NN}}=2.76 TeV","pl");
t3->AddEntry(hPythia,"PYTHIA","lf");
t3->AddEntry(hDataMix,"embedded PYTHIA","lf");
t3->SetFillColor(0);
t3->SetBorderSize(0);
t3->SetFillStyle(0);
t3->SetTextFont(63);
t3->SetTextSize(15);
t3->Draw();
}
}
void makeNice(TString fileName, TString nice = "nicePlot"){
TFile *f = TFile::Open(fileName);
// TFile *f = TFile::Open("out_Parameters_bkg1_3vtx.root");
TGraphErrors * gRgre = (TGraphErrors*)f->Get("gR");
TGraphErrors * gXgre = (TGraphErrors*)f->Get("gX");
TGraphErrors * gYgre = (TGraphErrors*)f->Get("gY");
TGraphErrors * rRgre = (TGraphErrors*)f->Get("rR");
TGraphErrors * rXgre = (TGraphErrors*)f->Get("rX");
TGraphErrors * rYgre = (TGraphErrors*)f->Get("rY");
//=========Macro generated from canvas: c1_n2/c1_n2
//========= (Fri May 27 11:43:08 2011) by ROOT version5.27/06b
TCanvas *c1_n2 = new TCanvas("c1_n2","c1_n2",700,1500);
gStyle->SetOptFit(0);
gStyle->SetOptStat(0);
c1_n2->Range(0,0,1,1);
c1_n2->SetFillColor(0);
c1_n2->SetBorderMode(0);
c1_n2->SetBorderSize(2);
c1_n2->SetTickx(1);
c1_n2->SetTicky(1);
c1_n2->SetLeftMargin(0.13);
c1_n2->SetRightMargin(0.05);
c1_n2->SetTopMargin(0.05);
c1_n2->SetBottomMargin(0.13);
c1_n2->SetFrameFillStyle(0);
c1_n2->SetFrameBorderMode(0);
// ------------>Primitives in pad: c1_n2_1
TPad *c1_n2_1 = new TPad("c1_n2_1", "c1_n2_1",0.01,0.67,0.99,0.99);
c1_n2_1->Draw();
c1_n2_1->cd();
c1_n2_1->Range(-52.68293,-0.03170732,44.87805,0.2121951);
c1_n2_1->SetFillColor(0);
c1_n2_1->SetBorderMode(0);
c1_n2_1->SetBorderSize(2);
c1_n2_1->SetTickx(1);
c1_n2_1->SetTicky(1);
c1_n2_1->SetLeftMargin(0.12);
c1_n2_1->SetRightMargin(0.02);
c1_n2_1->SetTopMargin(0.05);
c1_n2_1->SetBottomMargin(0.2);
c1_n2_1->SetFrameFillStyle(0);
c1_n2_1->SetFrameBorderMode(0);
c1_n2_1->SetFrameFillStyle(0);
c1_n2_1->SetFrameBorderMode(0);
TH1D *PLOTTERX = new TH1D("PLOTTERX","",1,-40,40);
PLOTTERX->SetMinimum(-0.19);
PLOTTERX->SetMaximum(+0.19);
PLOTTERX->SetFillColor(63);
PLOTTERX->SetLineStyle(0);
PLOTTERX->SetMarkerStyle(20);
PLOTTERX->GetXaxis()->SetLabelFont(42);
PLOTTERX->GetXaxis()->SetLabelOffset(0.007);
PLOTTERX->GetXaxis()->SetLabelSize(0.09);
PLOTTERX->GetXaxis()->SetTitleSize(0.1);
PLOTTERX->GetXaxis()->SetTitleOffset(0.9);
PLOTTERX->GetXaxis()->SetTitleFont(42);
PLOTTERX->GetXaxis()->SetTitle("z [cm]");
PLOTTERX->GetYaxis()->SetNdivisions(505);
PLOTTERX->GetYaxis()->SetTitle("x_{0} [cm] ");
PLOTTERX->GetYaxis()->SetLabelFont(42);
PLOTTERX->GetYaxis()->SetLabelOffset(0.007);
PLOTTERX->GetYaxis()->SetLabelSize(0.09);
PLOTTERX->GetYaxis()->SetTitleSize(0.1);
PLOTTERX->GetYaxis()->SetTitleOffset(0.5);
PLOTTERX->GetYaxis()->SetTitleFont(42);
PLOTTERX->GetZaxis()->SetLabelFont(42);
PLOTTERX->GetZaxis()->SetLabelOffset(0.007);
PLOTTERX->GetZaxis()->SetLabelSize(0.05);
PLOTTERX->GetZaxis()->SetTitleSize(0.06);
PLOTTERX->GetZaxis()->SetTitleFont(42);
PLOTTERX->Draw("");
gXgre->SetFillColor(kBlack);
gXgre->SetMarkerStyle(20);
gXgre->SetMarkerColor(kBlack);
gXgre->SetLineColor(kBlack);
gXgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
gXgre->GetListOfFunctions()->RemoveLast(); //...and old fit
gXgre->SetLineWidth(2);
gXgre->Draw("P");
rXgre->SetFillColor(kBlue);
rXgre->SetMarkerStyle(20);
rXgre->SetMarkerColor(kBlue);
rXgre->SetLineColor(kBlue);
rXgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
rXgre->GetListOfFunctions()->RemoveLast(); //...and old fit
rXgre->SetLineWidth(2);
rXgre->Draw("P");
TLatex *CMSPrel = new TLatex(-37.0,PLOTTERX->GetMaximum()-0.025,"CMS Preliminary 2011");
CMSPrel->SetTextSize(0.06);
// CMSPrel->Draw();
c1_n2_1->Modified();
c1_n2->cd();
// ------------>Primitives in pad: c1_n2_2
TPad *c1_n2_2 = new TPad("c1_n2_1", "c1_n2_1",0.01,0.34,0.99,0.66);
// TPad *c1_n2_1 = new TPad("c1_n2_1", "c1_n2_1",0.01,0.01,0.99,0.33);
c1_n2_2->Draw();
c1_n2_2->cd();
c1_n2_2->Range(-52.68293,-0.3317073,44.87805,-0.08780488);
c1_n2_2->SetFillColor(0);
c1_n2_2->SetBorderMode(0);
c1_n2_2->SetBorderSize(2);
c1_n2_2->SetTickx(1);
c1_n2_2->SetTicky(1);
c1_n2_2->SetLeftMargin(0.12);
c1_n2_2->SetRightMargin(0.02);
c1_n2_2->SetTopMargin(0.05);
c1_n2_2->SetBottomMargin(0.2);
c1_n2_2->SetFrameFillStyle(0);
c1_n2_2->SetFrameBorderMode(0);
c1_n2_2->SetFrameFillStyle(0);
c1_n2_2->SetFrameBorderMode(0);
TH1D *PLOTTERY = new TH1D("PLOTTERY","",1,-40,40);
PLOTTERY->SetMinimum(-0.29);
PLOTTERY->SetMaximum(+0.09);
PLOTTERY->SetFillColor(63);
PLOTTERY->SetLineStyle(0);
PLOTTERY->SetMarkerStyle(20);
PLOTTERY->GetXaxis()->SetLabelFont(42);
PLOTTERY->GetXaxis()->SetLabelOffset(0.007);
PLOTTERY->GetXaxis()->SetLabelSize(0.09);
PLOTTERY->GetXaxis()->SetTitleSize(0.1);
PLOTTERY->GetXaxis()->SetTitleFont(42);
PLOTTERY->GetXaxis()->SetTitleOffset(0.9);
PLOTTERY->GetXaxis()->SetTitle("z [cm]");
PLOTTERY->GetYaxis()->SetNdivisions(505);
PLOTTERY->GetYaxis()->SetTitle("y_{0} [cm] ");
PLOTTERY->GetYaxis()->SetLabelFont(42);
PLOTTERY->GetYaxis()->SetLabelOffset(0.007);
PLOTTERY->GetYaxis()->SetLabelSize(0.09);
PLOTTERY->GetYaxis()->SetTitleSize(0.1);
PLOTTERY->GetYaxis()->SetTitleOffset(0.5);
PLOTTERY->GetYaxis()->SetTitleFont(42);
PLOTTERY->GetZaxis()->SetLabelFont(42);
PLOTTERY->GetZaxis()->SetLabelOffset(0.007);
PLOTTERY->GetZaxis()->SetLabelSize(0.05);
PLOTTERY->GetZaxis()->SetTitleSize(0.06);
PLOTTERY->GetZaxis()->SetTitleFont(42);
PLOTTERY->Draw("");
gYgre->SetFillColor(kBlack);
gYgre->SetMarkerStyle(20);
gYgre->SetMarkerColor(kBlack);
gYgre->SetLineColor(kBlack);
gYgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
gYgre->GetListOfFunctions()->RemoveLast(); //...and old fit
gYgre->SetLineWidth(2);
gYgre->Draw("P");
rYgre->SetFillColor(kBlue);
rYgre->SetMarkerStyle(20);
rYgre->SetMarkerColor(kBlue);
rYgre->SetLineColor(kBlue);
rYgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
rYgre->GetListOfFunctions()->RemoveLast(); //...and old fit
rYgre->SetLineWidth(2);
rYgre->Draw("P");
TLatex *CMSPrel = new TLatex(-37.0,PLOTTERY->GetMaximum()-0.025,"CMS Preliminary 2011");
CMSPrel->SetTextSize(0.06);
// CMSPrel->Draw();
c1_n2_2->Modified();
c1_n2->cd();
// ------------>Primitives in pad: c1_n2_2
TPad *c1_n2_3 = new TPad("c1_n2_1", "c1_n2_1",0.01,0.01,0.99,0.33);
// TPad *c1_n2_1 = new TPad("c1_n2_1", "c1_n2_1",0.01,0.01,0.99,0.33);
c1_n2_3->Draw();
c1_n2_3->cd();
c1_n2_3->Range(-52.68293,-0.3317073,44.87805,-0.08780488);
c1_n2_3->SetFillColor(0);
c1_n2_3->SetBorderMode(0);
c1_n2_3->SetBorderSize(2);
c1_n2_3->SetTickx(1);
c1_n2_3->SetTicky(1);
c1_n2_3->SetLeftMargin(0.12);
c1_n2_3->SetRightMargin(0.02);
c1_n2_3->SetTopMargin(0.05);
c1_n2_3->SetBottomMargin(0.2);
c1_n2_3->SetFrameFillStyle(0);
c1_n2_3->SetFrameBorderMode(0);
c1_n2_3->SetFrameFillStyle(0);
c1_n2_3->SetFrameBorderMode(0);
TH1D *PLOTTERR = new TH1D("PLOTTERR","",1,-40,40);
PLOTTERR->SetMinimum(2.87);
PLOTTERR->SetMaximum(2.97);
PLOTTERR->SetFillColor(63);
PLOTTERR->SetLineStyle(0);
PLOTTERR->SetMarkerStyle(20);
PLOTTERR->GetXaxis()->SetLabelFont(42);
PLOTTERR->GetXaxis()->SetLabelOffset(0.007);
PLOTTERR->GetXaxis()->SetLabelSize(0.09);
PLOTTERR->GetXaxis()->SetTitleSize(0.1);
PLOTTERR->GetXaxis()->SetTitleFont(42);
PLOTTERR->GetXaxis()->SetTitleOffset(0.9);
PLOTTERR->GetXaxis()->SetTitle("z [cm]");
PLOTTERR->GetYaxis()->SetNdivisions(505);
PLOTTERR->GetYaxis()->SetTitle("R [cm] ");
PLOTTERR->GetYaxis()->SetLabelFont(42);
PLOTTERR->GetYaxis()->SetLabelOffset(0.007);
PLOTTERR->GetYaxis()->SetLabelSize(0.09);
PLOTTERR->GetYaxis()->SetTitleSize(0.1);
PLOTTERR->GetYaxis()->SetTitleOffset(0.5);
PLOTTERR->GetYaxis()->SetTitleFont(42);
PLOTTERR->GetZaxis()->SetLabelFont(42);
PLOTTERR->GetZaxis()->SetLabelOffset(0.007);
PLOTTERR->GetZaxis()->SetLabelSize(0.05);
PLOTTERR->GetZaxis()->SetTitleSize(0.06);
PLOTTERR->GetZaxis()->SetTitleFont(42);
PLOTTERR->Draw("");
gRgre->SetFillColor(kBlack);
gRgre->SetMarkerStyle(20);
gRgre->SetMarkerColor(kBlack);
gRgre->SetLineColor(kBlack);
gRgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
gRgre->GetListOfFunctions()->RemoveLast(); //...and old fit
gRgre->SetLineWidth(2);
gRgre->Draw("P");
rRgre->SetFillColor(kBlue);
rRgre->SetMarkerStyle(20);
rRgre->SetMarkerColor(kBlue);
rRgre->SetLineColor(kBlue);
rRgre->GetListOfFunctions()->RemoveLast(); //to remove parameters panel...
rRgre->GetListOfFunctions()->RemoveLast(); //...and old fit
rRgre->SetLineWidth(2);
rRgre->Draw("P");
TLatex *CMSPrel = new TLatex(-37.0,PLOTTERR->GetMaximum()-0.025,"CMS Preliminary 2011");
CMSPrel->SetTextSize(0.06);
// CMSPrel->Draw();
c1_n2_3->Modified();
c1_n2->cd();
TF1* fX = new TF1("fX", "[0]+[1]*x", -35, 35);
TF1* fY = new TF1("fY", "[0]+[1]*x", -35, 35);
TF1* fR = new TF1("fR", "[0]+[1]*x", -35, 35);
fX->SetParameter(0, 0.1);
fX->SetParameter(1, -0.0007);
fY->SetParameter(0, -0.2);
fY->SetParameter(1, +0.0007);
fR->SetParameter(0, 2.94);
fR->SetParameter(1, 0.0);
gXgre->Fit(fX);
gYgre->Fit(fY);
gRgre->Fit(fR);
//
c1_n2->cd();
c1_n2->Modified();
c1_n2->cd();
c1_n2->SetSelected(c1_n2);
c1_n2->SaveAs(nice+".png"); //!Serve!!!!
c1_n2->SaveAs(nice+".gif");
c1_n2->SaveAs(nice+".png");
}
void ShowStack(TH1D* data,TH1D* noise,TH1D* b,TH1D* c,TH1D* d,TH1D* sl1,TH1D* sl2, string type)
{
cout << data << " " << noise << " " << b << " " << c << " " << d << " " << sl1 << " " << sl2 << endl;
double eposscale=double(c->Integral())/double(sl1->Integral());
double eposscale2=double(c->Integral())/double(sl2->Integral());
noise->Scale(1./double(data->Integral()) * 48.216 / (9.9845*(1.-(84.+296.)/3568.))); //HLT PAAccept rate is 48.2216HZ compared to 9.9845Hz of noise //(84+296)/3568 get skipped because pf BPTX_quiet
data->Scale(1./double(data->Integral()));
b->Scale(data->Integral()/b->Integral());
double eposnorm=data->Integral()/c->Integral();
c->Scale(eposnorm);
d->Scale(data->Integral()/d->Integral());
sl1->Scale(eposscale*195./2130.*eposnorm);
sl2->Scale(eposscale2*122./2130.*eposnorm);
sl1->SetBit(TH1::kIsAverage);
sl2->SetBit(TH1::kIsAverage);
if(sl1->Add(sl2) == kFALSE) {new TCanvas; sl1->Draw(); new TCanvas; sl2->Draw(); cerr << "add failed" << endl; return;}
TH1D* sl = sl1;
//data->Add(noise,-1);
data->SetMarkerSize(1);
// data->SetLineWidth(2);
// noise->SetLineWidth(1.5);
// b->SetLineWidth(2);
// c->SetLineWidth(2);
// d->SetLineWidth(2);
// sl->SetLineWidth(2);
data->SetMarkerColor(kBlack);
noise->SetMarkerColor(kGreen-10);
b->SetMarkerColor(kRed);
c->SetMarkerColor(kBlue);
d->SetMarkerColor(kGreen+2);
sl->SetMarkerColor(kOrange-9);
noise->SetMarkerStyle(34);
b->SetMarkerStyle(4);
c->SetMarkerStyle(25);
d->SetMarkerStyle(28);
sl->SetMarkerStyle(22);
data->SetLineColor(data->GetMarkerColor());
noise->SetLineColor(noise->GetMarkerColor());
b->SetLineColor(b->GetMarkerColor());
c->SetLineColor(c->GetMarkerColor());
d->SetLineColor(d->GetMarkerColor());
sl->SetLineColor(sl->GetMarkerColor());
data->SetFillColor(data->GetMarkerColor());
noise->SetFillColor(noise->GetMarkerColor());
b->SetFillColor(b->GetMarkerColor());
c->SetFillColor(c->GetMarkerColor());
d->SetFillColor(d->GetMarkerColor());
sl->SetFillColor(sl->GetMarkerColor());
data->SetTitle("Data");
noise->SetTitle("Noise");
b->SetTitle("HIJING 1.383");
c->SetTitle("EPOS-LHC");
d->SetTitle("QGSJetII-04");
sl->SetTitle("#gamma-p (STARLIGHT+DPMJET/PYTHIA)");
//data->GetXaxis()->SetLimits(1,);
data->GetYaxis()->SetRangeUser(0,0.2);
data->GetXaxis()->SetTitle("HF Ring (ieta)");
data->GetYaxis()->SetTitle("events (normalised)");
data->GetXaxis()->SetTitleOffset(data->GetXaxis()->GetTitleOffset()*1.1);
THStack* h_s_bg = new THStack("h_s_gb","events");
h_s_bg->Add(noise,"HIST F");
h_s_bg->Add(sl,"HIST F");
if(0)
{
b = merge(noise,sl,b);
c = merge(noise,sl,c);
d = merge(noise,sl,d);
}
TCanvas* c1 = new TCanvas;
data->Draw("P");
h_s_bg->Draw("SAME");
b->Draw("SAME");
c->Draw("SAME");
d->Draw("SAME");
data->Draw("SAME P");
data->Draw("SAME AXIS");
TLegend* leg = new TLegend(0.23,0.72,0.43,0.93);
SetLegAtt(leg);
leg->AddEntry(data,"","p");
leg->AddEntry(b,"","p");
leg->AddEntry(c,"","p");
leg->AddEntry(d,"","p");
leg->AddEntry(sl,"","f");
leg->AddEntry(noise,"","f");
leg->Draw();
CMSText(1,0,1,type=="single"?"single-arm selection":"double-arm selection");
data->GetXaxis()->SetRangeUser(-41,-29);
c1->SaveAs((string("plots/hf_") + type + string("_triggered_rings_m")+string(".pdf")).c_str());
data->GetXaxis()->SetRangeUser(29,41);
c1->SaveAs((string("plots/hf_") + type + string("_triggered_rings_p")+string(".pdf")).c_str());
}
void fitWm(const TString outputDir, // output directory
const Double_t lumi, // integrated luminosity (/fb)
const Double_t nsigma=0 // vary MET corrections by n-sigmas (nsigma=0 means nominal correction)
) {
gBenchmark->Start("fitWm");
//--------------------------------------------------------------------------------------------------------------
// Settings
//==============================================================================================================
// MET histogram binning and range
const Int_t NBINS = 50;
const Double_t METMAX = 100;
const Double_t PT_CUT = 25;
const Double_t ETA_CUT = 2.1;
// file format for output plots
const TString format("png");
// recoil correction
RecoilCorrector recoilCorr("../Recoil/ZmmData/fits.root");//, (!) uncomment to perform corrections to recoil from W-MC/Z-MC
//"../Recoil/WmpMC/fits.root",
//"../Recoil/WmmMC/fits.root",
//"../Recoil/ZmmMC/fits.root");
// NNLO boson pT k-factors
TFile nnloCorrFile("/data/blue/ksung/EWKAna/8TeV/Utils/Ratio.root");
TH1D *hNNLOCorr = (TH1D*)nnloCorrFile.Get("RpT_B");
//
// input ntuple file names
//
enum { eData, eWmunu, eEWK, eAntiData, eAntiWmunu, eAntiEWK }; // data type enum
vector<TString> fnamev;
vector<Int_t> typev;
fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/Wmunu/ntuples/data_select.root"); typev.push_back(eData);
fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/Wmunu/ntuples/wm_select.root"); typev.push_back(eWmunu);
fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/Wmunu/ntuples/ewk_select.root"); typev.push_back(eEWK);
fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/Wmunu/ntuples/top_select.root"); typev.push_back(eEWK);
fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/AntiWmunu/ntuples/data_select.root"); typev.push_back(eAntiData);
fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/AntiWmunu/ntuples/wm_select.root"); typev.push_back(eAntiWmunu);
fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/AntiWmunu/ntuples/ewk_select.root"); typev.push_back(eAntiEWK);
fnamev.push_back("/data/blue/ksung/EWKAna/8TeV/Selection/AntiWmunu/ntuples/top_select.root"); typev.push_back(eAntiEWK);
//--------------------------------------------------------------------------------------------------------------
// Main analysis code
//==============================================================================================================
// Create output directory
gSystem->mkdir(outputDir,kTRUE);
CPlot::sOutDir = outputDir;
//
// Declare MET histograms
//
TH1D *hDataMet = new TH1D("hDataMet","", NBINS,0,METMAX); hDataMet->Sumw2();
TH1D *hDataMetm = new TH1D("hDataMetm","", NBINS,0,METMAX); hDataMetm->Sumw2();
TH1D *hDataMetp = new TH1D("hDataMetp","", NBINS,0,METMAX); hDataMetp->Sumw2();
TH1D *hWmunuMet = new TH1D("hWmunuMet","", NBINS,0,METMAX); hWmunuMet->Sumw2();
TH1D *hWmunuMetp = new TH1D("hWmunuMetp","",NBINS,0,METMAX); hWmunuMetp->Sumw2();
TH1D *hWmunuMetm = new TH1D("hWmunuMetm","",NBINS,0,METMAX); hWmunuMetm->Sumw2();
TH1D *hEWKMet = new TH1D("hEWKMet", "", NBINS,0,METMAX); hEWKMet->Sumw2();
TH1D *hEWKMetp = new TH1D("hEWKMetp", "", NBINS,0,METMAX); hEWKMetp->Sumw2();
TH1D *hEWKMetm = new TH1D("hEWKMetm", "", NBINS,0,METMAX); hEWKMetm->Sumw2();
TH1D *hAntiDataMet = new TH1D("hAntiDataMet","", NBINS,0,METMAX); hAntiDataMet->Sumw2();
TH1D *hAntiDataMetm = new TH1D("hAntiDataMetm","", NBINS,0,METMAX); hAntiDataMetm->Sumw2();
TH1D *hAntiDataMetp = new TH1D("hAntiDataMetp","", NBINS,0,METMAX); hAntiDataMetp->Sumw2();
TH1D *hAntiWmunuMet = new TH1D("hAntiWmunuMet","", NBINS,0,METMAX); hAntiWmunuMet->Sumw2();
TH1D *hAntiWmunuMetp = new TH1D("hAntiWmunuMetp","",NBINS,0,METMAX); hAntiWmunuMetp->Sumw2();
TH1D *hAntiWmunuMetm = new TH1D("hAntiWmunuMetm","",NBINS,0,METMAX); hAntiWmunuMetm->Sumw2();
TH1D *hAntiEWKMet = new TH1D("hAntiEWKMet", "", NBINS,0,METMAX); hAntiEWKMet->Sumw2();
TH1D *hAntiEWKMetp = new TH1D("hAntiEWKMetp", "", NBINS,0,METMAX); hAntiEWKMetp->Sumw2();
TH1D *hAntiEWKMetm = new TH1D("hAntiEWKMetm", "", NBINS,0,METMAX); hAntiEWKMetm->Sumw2();
//
// Declare variables to read in ntuple
//
UInt_t runNum, lumiSec, evtNum;
UInt_t npv, npu;
Float_t genVPt, genVPhi;
Float_t scale1fb;
Float_t met, metPhi, sumEt, mt, u1, u2;
Int_t q;
LorentzVector *lep=0;
Float_t pfChIso, pfGamIso, pfNeuIso;
TFile *infile=0;
TTree *intree=0;
//
// Loop over files
//
for(UInt_t ifile=0; ifile<fnamev.size(); ifile++) {
// Read input file and get the TTrees
cout << "Processing " << fnamev[ifile] << "..." << endl;
infile = new TFile(fnamev[ifile]); assert(infile);
intree = (TTree*)infile->Get("Events"); assert(intree);
intree->SetBranchAddress("runNum", &runNum); // event run number
intree->SetBranchAddress("lumiSec", &lumiSec); // event lumi section
intree->SetBranchAddress("evtNum", &evtNum); // event number
intree->SetBranchAddress("npv", &npv); // number of primary vertices
intree->SetBranchAddress("npu", &npu); // number of in-time PU events (MC)
intree->SetBranchAddress("genVPt", &genVPt); // GEN W boson pT (signal MC)
intree->SetBranchAddress("genVPhi", &genVPhi); // GEN W boson phi (signal MC)
intree->SetBranchAddress("scale1fb", &scale1fb); // event weight per 1/fb (MC)
intree->SetBranchAddress("met", &met); // MET
intree->SetBranchAddress("metPhi", &metPhi); // phi(MET)
intree->SetBranchAddress("sumEt", &sumEt); // Sum ET
intree->SetBranchAddress("mt", &mt); // transverse mass
intree->SetBranchAddress("u1", &u1); // parallel component of recoil
intree->SetBranchAddress("u2", &u2); // perpendicular component of recoil
intree->SetBranchAddress("q", &q); // lepton charge
intree->SetBranchAddress("lep", &lep); // lepton 4-vector
intree->SetBranchAddress("pfChIso", &pfChIso);
intree->SetBranchAddress("pfGamIso", &pfGamIso);
intree->SetBranchAddress("pfNeuIso", &pfNeuIso);
//
// loop over events
//
for(UInt_t ientry=0; ientry<intree->GetEntries(); ientry++) {
intree->GetEntry(ientry);
if(lep->Pt() < PT_CUT) continue;
if(fabs(lep->Eta()) > ETA_CUT) continue;
if( (typev[ifile]==eAntiData || typev[ifile]==eAntiWmunu || typev[ifile]==eAntiEWK) &&
(pfChIso+pfGamIso+pfNeuIso)>0.5*(lep->Pt()) )
continue;
if(typev[ifile]==eData) {
hDataMet->Fill(met);
if(q>0) { hDataMetp->Fill(met); }
else { hDataMetm->Fill(met); }
} else if(typev[ifile]==eAntiData) {
hAntiDataMet->Fill(met);
if(q>0) { hAntiDataMetp->Fill(met); }
else { hAntiDataMetm->Fill(met); }
} else {
Double_t weight = 1;
weight *= scale1fb*lumi;
if(typev[ifile]==eWmunu) {
Double_t corrMet=met, corrMetPhi=metPhi;
// apply recoil corrections to W MC
Double_t lepPt = lep->Pt();
//Double_t lepPt = gRandom->Gaus(lep->Pt(),0.5); // (!) uncomment to apply scale/res corrections to MC
recoilCorr.Correct(corrMet,corrMetPhi,genVPt,genVPhi,lepPt,lep->Phi(),nsigma,q);
Double_t nnlocorr=1;
for(Int_t ibin=1; ibin<=hNNLOCorr->GetNbinsX(); ibin++) {
if(genVPt >= hNNLOCorr->GetBinLowEdge(ibin) &&
genVPt < (hNNLOCorr->GetBinLowEdge(ibin)+hNNLOCorr->GetBinWidth(ibin)))
nnlocorr = hNNLOCorr->GetBinContent(ibin);
}
//weight *= nnlocorr; // (!) uncomment to apply NNLO corrections
hWmunuMet->Fill(corrMet,weight);
if(q>0) { hWmunuMetp->Fill(corrMet,weight); }
else { hWmunuMetm->Fill(corrMet,weight); }
}
if(typev[ifile]==eAntiWmunu) {
Double_t corrMet=met, corrMetPhi=metPhi;
// apply recoil corrections to W MC
Double_t lepPt = lep->Pt();//gRandom->Gaus(lep->Pt(),0.5);
//Double_t lepPt = gRandom->Gaus(lep->Pt(),0.5); // (!) uncomment to apply scale/res corrections to MC
recoilCorr.Correct(corrMet,corrMetPhi,genVPt,genVPhi,lepPt,lep->Phi(),nsigma,q);
Double_t nnlocorr=1;
for(Int_t ibin=1; ibin<=hNNLOCorr->GetNbinsX(); ibin++) {
if(genVPt >= hNNLOCorr->GetBinLowEdge(ibin) &&
genVPt < (hNNLOCorr->GetBinLowEdge(ibin)+hNNLOCorr->GetBinWidth(ibin)))
nnlocorr = hNNLOCorr->GetBinContent(ibin);
}
//weight *= nnlocorr; // (!) uncomment to apply NNLO corrections
hAntiWmunuMet->Fill(corrMet,weight);
if(q>0) { hAntiWmunuMetp->Fill(corrMet,weight); }
else { hAntiWmunuMetm->Fill(corrMet,weight); }
}
if(typev[ifile]==eEWK) {
hEWKMet->Fill(met,weight);
if(q>0) { hEWKMetp->Fill(met,weight); }
else { hEWKMetm->Fill(met,weight); }
}
if(typev[ifile]==eAntiEWK) {
hAntiEWKMet->Fill(met,weight);
if(q>0) { hAntiEWKMetp->Fill(met,weight); }
else { hAntiEWKMetm->Fill(met,weight); }
}
}
}
}
delete infile;
infile=0, intree=0;
//
// Declare fit parameters for signal and background yields
// Note: W signal and EWK+top PDFs are constrained to the ratio described in MC
//
RooRealVar nSig("nSig","nSig",0.7*(hDataMet->Integral()),0,hDataMet->Integral());
RooRealVar nQCD("nQCD","nQCD",0.3*(hDataMet->Integral()),0,hDataMet->Integral());
RooRealVar cewk("cewk","cewk",0.1,0,5) ;
cewk.setVal(hEWKMet->Integral()/hWmunuMet->Integral());
cewk.setConstant(kTRUE);
RooFormulaVar nEWK("nEWK","nEWK","cewk*nSig",RooArgList(nSig,cewk));
RooRealVar nAntiSig("nAntiSig","nAntiSig",0.05*(hAntiDataMet->Integral()),0,hAntiDataMet->Integral());
RooRealVar nAntiQCD("nAntiQCD","nAntiQCD",0.9*(hDataMet->Integral()),0,hDataMet->Integral());
RooRealVar dewk("dewk","dewk",0.1,0,5) ;
dewk.setVal(hAntiEWKMet->Integral()/hAntiWmunuMet->Integral());
dewk.setConstant(kTRUE);
RooFormulaVar nAntiEWK("nAntiEWK","nAntiEWK","dewk*nAntiSig",RooArgList(nAntiSig,dewk));
RooRealVar nSigp("nSigp","nSigp",0.7*(hDataMetp->Integral()),0,hDataMetp->Integral());
RooRealVar nQCDp("nQCDp","nQCDp",0.3*(hDataMetp->Integral()),0,hDataMetp->Integral());
RooRealVar cewkp("cewkp","cewkp",0.1,0,5) ;
cewkp.setVal(hEWKMetp->Integral()/hWmunuMetp->Integral());
cewkp.setConstant(kTRUE);
RooFormulaVar nEWKp("nEWKp","nEWKp","cewkp*nSigp",RooArgList(nSigp,cewkp));
RooRealVar nAntiSigp("nAntiSigp","nAntiSigp",0.05*(hAntiDataMetp->Integral()),0,hAntiDataMetp->Integral());
RooRealVar nAntiQCDp("nAntiQCDp","nAntiQCDp",0.9*(hAntiDataMetp->Integral()),0,hAntiDataMetp->Integral());
RooRealVar dewkp("dewkp","dewkp",0.1,0,5) ;
dewkp.setVal(hAntiEWKMetp->Integral()/hAntiWmunuMetp->Integral());
dewkp.setConstant(kTRUE);
RooFormulaVar nAntiEWKp("nAntiEWKp","nAntiEWKp","dewkp*nAntiSigp",RooArgList(nAntiSigp,dewkp));
RooRealVar nSigm("nSigm","nSigm",0.7*(hDataMetm->Integral()),0,hDataMetm->Integral());
RooRealVar nQCDm("nQCDm","nQCDm",0.3*(hDataMetm->Integral()),0,hDataMetm->Integral());
RooRealVar cewkm("cewkm","cewkm",0.1,0,5) ;
cewkm.setVal(hEWKMetm->Integral()/hWmunuMetm->Integral());
cewkm.setConstant(kTRUE);
RooFormulaVar nEWKm("nEWKm","nEWKm","cewkm*nSigm",RooArgList(nSigm,cewkm));
RooRealVar nAntiSigm("nAntiSigm","nAntiSigm",0.05*(hAntiDataMetm->Integral()),0,hAntiDataMetm->Integral());
RooRealVar nAntiQCDm("nAntiQCDm","nAntiQCDm",0.9*(hAntiDataMetm->Integral()),0,hAntiDataMetm->Integral());
RooRealVar dewkm("dewkm","dewkm",0.1,0,5) ;
dewkm.setVal(hAntiEWKMetm->Integral()/hAntiWmunuMetm->Integral());
dewkm.setConstant(kTRUE);
RooFormulaVar nAntiEWKm("nAntiEWKm","nAntiEWKm","dewkm*nAntiSigm",RooArgList(nAntiSigm,dewkm));
//
// Construct PDFs for fitting
//
RooRealVar pfmet("pfmet","pfmet",0,METMAX);
pfmet.setBins(NBINS);
// Signal PDFs
RooDataHist wmunuMet ("wmunuMET", "wmunuMET", RooArgSet(pfmet),hWmunuMet); RooHistPdf pdfWm ("wm", "wm", pfmet,wmunuMet, 1);
RooDataHist wmunuMetp("wmunuMETp","wmunuMETp",RooArgSet(pfmet),hWmunuMetp); RooHistPdf pdfWmp("wmp","wmp",pfmet,wmunuMetp,1);
RooDataHist wmunuMetm("wmunuMETm","wmunuMETm",RooArgSet(pfmet),hWmunuMetm); RooHistPdf pdfWmm("wmm","wmm",pfmet,wmunuMetm,1);
// EWK+top PDFs
RooDataHist ewkMet ("ewkMET", "ewkMET", RooArgSet(pfmet),hEWKMet); RooHistPdf pdfEWK ("ewk", "ewk", pfmet,ewkMet, 1);
RooDataHist ewkMetp("ewkMETp","ewkMETp",RooArgSet(pfmet),hEWKMetp); RooHistPdf pdfEWKp("ewkp","ewkp",pfmet,ewkMetp,1);
RooDataHist ewkMetm("ewkMETm","ewkMETm",RooArgSet(pfmet),hEWKMetm); RooHistPdf pdfEWKm("ewkm","ewkm",pfmet,ewkMetm,1);
// QCD Pdfs
CPepeModel1 qcd("qcd",pfmet);
CPepeModel1 qcdp("qcdp",pfmet);
CPepeModel1 qcdm("qcdm",pfmet);
// Signal + Background PDFs
RooAddPdf pdfMet ("pdfMet", "pdfMet", RooArgList(pdfWm,pdfEWK,*(qcd.model)), RooArgList(nSig,nEWK,nQCD));
RooAddPdf pdfMetp("pdfMetp","pdfMetp",RooArgList(pdfWmp,pdfEWKp,*(qcdp.model)),RooArgList(nSigp,nEWKp,nQCDp));
RooAddPdf pdfMetm("pdfMetm","pdfMetm",RooArgList(pdfWmm,pdfEWKm,*(qcdm.model)),RooArgList(nSigm,nEWKm,nQCDm));
// Anti-Signal PDFs
RooDataHist awmunuMet ("awmunuMET", "awmunuMET", RooArgSet(pfmet),hAntiWmunuMet); RooHistPdf apdfWm ("awm", "awm", pfmet,awmunuMet, 1);
RooDataHist awmunuMetp("awmunuMETp","awmunuMETp",RooArgSet(pfmet),hAntiWmunuMetp); RooHistPdf apdfWmp("awmp","awmp",pfmet,awmunuMetp,1);
RooDataHist awmunuMetm("awmunuMETm","awmunuMETm",RooArgSet(pfmet),hAntiWmunuMetm); RooHistPdf apdfWmm("awmm","awmm",pfmet,awmunuMetm,1);
// Anti-EWK+top PDFs
RooDataHist aewkMet ("aewkMET", "aewkMET", RooArgSet(pfmet),hAntiEWKMet); RooHistPdf apdfEWK ("aewk", "aewk", pfmet,aewkMet, 1);
RooDataHist aewkMetp("aewkMETp","aewkMETp",RooArgSet(pfmet),hAntiEWKMetp); RooHistPdf apdfEWKp("aewkp","aewkp",pfmet,aewkMetp,1);
RooDataHist aewkMetm("aewkMETm","aewkMETm",RooArgSet(pfmet),hAntiEWKMetm); RooHistPdf apdfEWKm("aewkm","aewkm",pfmet,aewkMetm,1);
// Anti-QCD Pdfs
CPepeModel1 aqcd("aqcd",pfmet,qcd.a1);
CPepeModel1 aqcdp("aqcdp",pfmet,qcdp.a1);
CPepeModel1 aqcdm("aqcdm",pfmet,qcdm.a1);
// Anti-selection PDFs
RooAddPdf apdfMet ("apdfMet", "apdfMet", RooArgList(apdfWm,apdfEWK,*(aqcd.model)), RooArgList(nAntiSig,nAntiEWK,nAntiQCD));
RooAddPdf apdfMetp("apdfMetp","apdfMetp",RooArgList(apdfWmp,apdfEWKp,*(aqcdp.model)),RooArgList(nAntiSigp,nAntiEWKp,nAntiQCDp));
RooAddPdf apdfMetm("apdfMetm","apdfMetm",RooArgList(apdfWmm,apdfEWKm,*(aqcdm.model)),RooArgList(nAntiSigm,nAntiEWKm,nAntiQCDm));
// PDF for simultaneous fit
RooCategory rooCat("rooCat","rooCat");
rooCat.defineType("Select");
rooCat.defineType("Anti");
RooSimultaneous pdfTotal("pdfTotal","pdfTotal",rooCat);
pdfTotal.addPdf(pdfMet, "Select");
pdfTotal.addPdf(apdfMet,"Anti");
RooSimultaneous pdfTotalp("pdfTotalp","pdfTotalp",rooCat);
pdfTotalp.addPdf(pdfMetp, "Select");
pdfTotalp.addPdf(apdfMetp,"Anti");
RooSimultaneous pdfTotalm("pdfTotalm","pdfTotalm",rooCat);
pdfTotalm.addPdf(pdfMetm, "Select");
pdfTotalm.addPdf(apdfMetm,"Anti");
//
// Perform fits
//
RooDataHist dataMet("dataMet", "dataMet", RooArgSet(pfmet), hDataMet);
RooDataHist antiMet("antiMet", "antiMet", RooArgSet(pfmet), hAntiDataMet);
RooDataHist dataTotal("dataTotal","dataTotal", RooArgList(pfmet), Index(rooCat),
Import("Select", dataMet),
Import("Anti", antiMet));
RooFitResult *fitRes = pdfTotal.fitTo(dataTotal,Extended(),Minos(kTRUE),Save(kTRUE));
RooDataHist dataMetp("dataMetp", "dataMetp", RooArgSet(pfmet), hDataMetp);
RooDataHist antiMetp("antiMetp", "antiMetp", RooArgSet(pfmet), hAntiDataMetp);
RooDataHist dataTotalp("dataTotalp","dataTotalp", RooArgList(pfmet), Index(rooCat),
Import("Select", dataMetp),
Import("Anti", antiMetp));
RooFitResult *fitResp = pdfTotalp.fitTo(dataTotalp,Extended(),Minos(kTRUE),Save(kTRUE));
RooDataHist dataMetm("dataMetm", "dataMetm", RooArgSet(pfmet), hDataMetm);
RooDataHist antiMetm("antiMetm", "antiMetm", RooArgSet(pfmet), hAntiDataMetm);
RooDataHist dataTotalm("dataTotalm","dataTotalm", RooArgList(pfmet), Index(rooCat),
Import("Select", dataMetm),
Import("Anti", antiMetm));
RooFitResult *fitResm = pdfTotalm.fitTo(dataTotalm,Extended(),Minos(kTRUE),Save(kTRUE));
//
// Use histogram version of fitted PDFs to make ratio plots
// (Will also use PDF histograms later for Chi^2 and KS tests)
//
TH1D *hPdfMet = (TH1D*)(pdfMet.createHistogram("hPdfMet", pfmet));
hPdfMet->Scale((nSig.getVal()+nEWK.getVal()+nQCD.getVal())/hPdfMet->Integral());
TH1D *hMetDiff = makeDiffHist(hDataMet,hPdfMet,"hMetDiff");
hMetDiff->SetMarkerStyle(kFullCircle);
hMetDiff->SetMarkerSize(0.9);
TH1D *hPdfMetp = (TH1D*)(pdfMetp.createHistogram("hPdfMetp", pfmet));
hPdfMetp->Scale((nSigp.getVal()+nEWKp.getVal()+nQCDp.getVal())/hPdfMetp->Integral());
TH1D *hMetpDiff = makeDiffHist(hDataMetp,hPdfMetp,"hMetpDiff");
hMetpDiff->SetMarkerStyle(kFullCircle);
hMetpDiff->SetMarkerSize(0.9);
TH1D *hPdfMetm = (TH1D*)(pdfMetm.createHistogram("hPdfMetm", pfmet));
hPdfMetm->Scale((nSigm.getVal()+nEWKm.getVal()+nQCDm.getVal())/hPdfMetm->Integral());
TH1D *hMetmDiff = makeDiffHist(hDataMetm,hPdfMetm,"hMetmDiff");
hMetmDiff->SetMarkerStyle(kFullCircle);
hMetmDiff->SetMarkerSize(0.9);
TH1D *hPdfAntiMet = (TH1D*)(apdfMet.createHistogram("hPdfAntiMet", pfmet));
hPdfAntiMet->Scale((nAntiSig.getVal()+nAntiEWK.getVal()+nAntiQCD.getVal())/hPdfAntiMet->Integral());
TH1D *hAntiMetDiff = makeDiffHist(hAntiDataMet,hPdfAntiMet,"hAntiMetDiff");
hAntiMetDiff->SetMarkerStyle(kFullCircle);
hAntiMetDiff->SetMarkerSize(0.9);
TH1D *hPdfAntiMetp = (TH1D*)(apdfMetp.createHistogram("hPdfAntiMetp", pfmet));
hPdfAntiMetp->Scale((nAntiSigp.getVal()+nAntiEWKp.getVal()+nAntiQCDp.getVal())/hPdfAntiMetp->Integral());
TH1D *hAntiMetpDiff = makeDiffHist(hAntiDataMetp,hPdfAntiMetp,"hAntiMetpDiff");
hAntiMetpDiff->SetMarkerStyle(kFullCircle);
hAntiMetpDiff->SetMarkerSize(0.9);
TH1D *hPdfAntiMetm = (TH1D*)(apdfMetm.createHistogram("hPdfAntiMetm", pfmet));
hPdfAntiMetm->Scale((nAntiSigm.getVal()+nAntiEWKm.getVal()+nAntiQCDm.getVal())/hPdfAntiMetm->Integral());
TH1D *hAntiMetmDiff = makeDiffHist(hAntiDataMetm,hPdfAntiMetm,"hAntiMetmDiff");
hAntiMetmDiff->SetMarkerStyle(kFullCircle);
hAntiMetmDiff->SetMarkerSize(0.9);
//--------------------------------------------------------------------------------------------------------------
// Make plots
//==============================================================================================================
TCanvas *c = MakeCanvas("c","c",800,800);
c->Divide(1,2,0,0);
c->cd(1)->SetPad(0,0.3,1.0,1.0);
c->cd(1)->SetTopMargin(0.1);
c->cd(1)->SetBottomMargin(0.01);
c->cd(1)->SetLeftMargin(0.15);
c->cd(1)->SetRightMargin(0.07);
c->cd(1)->SetTickx(1);
c->cd(1)->SetTicky(1);
c->cd(2)->SetPad(0,0,1.0,0.3);
c->cd(2)->SetTopMargin(0.05);
c->cd(2)->SetBottomMargin(0.45);
c->cd(2)->SetLeftMargin(0.15);
c->cd(2)->SetRightMargin(0.07);
c->cd(2)->SetTickx(1);
c->cd(2)->SetTicky(1);
gStyle->SetTitleOffset(1.100,"Y");
TGaxis::SetMaxDigits(3);
char ylabel[100]; // string buffer for y-axis label
// label for lumi
char lumitext[100];
if(lumi<0.1) sprintf(lumitext,"%.1f pb^{-1} at #sqrt{s} = 8 TeV",lumi*1000.);
else sprintf(lumitext,"%.2f fb^{-1} at #sqrt{s} = 8 TeV",lumi);
// plot colors
Int_t linecolorW = kOrange-3;
Int_t fillcolorW = kOrange-2;
Int_t linecolorEWK = kOrange+10;
Int_t fillcolorEWK = kOrange+7;
Int_t linecolorQCD = kViolet+2;
Int_t fillcolorQCD = kViolet-5;
Int_t ratioColor = kGray+2;
//
// Dummy histograms for TLegend
// (I can't figure out how to properly pass RooFit objects...)
//
TH1D *hDummyData = new TH1D("hDummyData","",0,0,10);
hDummyData->SetMarkerStyle(kFullCircle);
hDummyData->SetMarkerSize(0.9);
TH1D *hDummyW = new TH1D("hDummyW","",0,0,10);
hDummyW->SetLineColor(linecolorW);
hDummyW->SetFillColor(fillcolorW);
hDummyW->SetFillStyle(1001);
TH1D *hDummyEWK = new TH1D("hDummyEWK","",0,0,10);
hDummyEWK->SetLineColor(linecolorEWK);
hDummyEWK->SetFillColor(fillcolorEWK);
hDummyEWK->SetFillStyle(1001);
TH1D *hDummyQCD = new TH1D("hDummyQCD","",0,0,10);
hDummyQCD->SetLineColor(linecolorQCD);
hDummyQCD->SetFillColor(fillcolorQCD);
hDummyQCD->SetFillStyle(1001);
//
// W MET plot
//
RooPlot *wmframe = pfmet.frame(Bins(NBINS));
wmframe->GetYaxis()->SetNdivisions(505);
dataMet.plotOn(wmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
pdfMet.plotOn(wmframe,FillColor(fillcolorW),DrawOption("F"));
pdfMet.plotOn(wmframe,LineColor(linecolorW));
pdfMet.plotOn(wmframe,Components(RooArgSet(pdfEWK,*(qcd.model))),FillColor(fillcolorEWK),DrawOption("F"));
pdfMet.plotOn(wmframe,Components(RooArgSet(pdfEWK,*(qcd.model))),LineColor(linecolorEWK));
pdfMet.plotOn(wmframe,Components(RooArgSet(*(qcd.model))),FillColor(fillcolorQCD),DrawOption("F"));
pdfMet.plotOn(wmframe,Components(RooArgSet(*(qcd.model))),LineColor(linecolorQCD));
pdfMet.plotOn(wmframe,Components(RooArgSet(pdfWm)),LineColor(linecolorW),LineStyle(2));
dataMet.plotOn(wmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
sprintf(ylabel,"Events / %.1f GeV",hDataMet->GetBinWidth(1));
CPlot plotMet("fitmet",wmframe,"","",ylabel);
plotMet.SetLegend(0.68,0.57,0.93,0.77);
plotMet.GetLegend()->AddEntry(hDummyData,"data","PL");
plotMet.GetLegend()->AddEntry(hDummyW,"W#rightarrow#mu#nu","F");
plotMet.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
plotMet.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
plotMet.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
plotMet.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
plotMet.SetYRange(0.1,1.1*(hDataMet->GetMaximum()));
plotMet.Draw(c,kFALSE,format,1);
CPlot plotMetDiff("fitmet","","#slash{E}_{T} [GeV]","#chi");
plotMetDiff.AddHist1D(hMetDiff,"EX0",ratioColor);
plotMetDiff.SetYRange(-8,8);
plotMetDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
plotMetDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
plotMetDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
plotMetDiff.Draw(c,kTRUE,format,2);
plotMet.SetName("fitmetlog");
plotMet.SetLogy();
plotMet.SetYRange(1e-3*(hDataMet->GetMaximum()),10*(hDataMet->GetMaximum()));
plotMet.Draw(c,kTRUE,format,1);
RooPlot *awmframe = pfmet.frame(Bins(NBINS));
antiMet.plotOn(awmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
apdfMet.plotOn(awmframe,FillColor(fillcolorW),DrawOption("F"));
apdfMet.plotOn(awmframe,LineColor(linecolorW));
apdfMet.plotOn(awmframe,Components(RooArgSet(apdfEWK,*(aqcd.model))),FillColor(fillcolorEWK),DrawOption("F"));
apdfMet.plotOn(awmframe,Components(RooArgSet(apdfEWK,*(aqcd.model))),LineColor(linecolorEWK));
apdfMet.plotOn(awmframe,Components(RooArgSet(*(aqcd.model))),FillColor(fillcolorQCD),DrawOption("F"));
apdfMet.plotOn(awmframe,Components(RooArgSet(*(aqcd.model))),LineColor(linecolorQCD));
apdfMet.plotOn(awmframe,Components(RooArgSet(apdfWm)),LineColor(linecolorW),LineStyle(2));
antiMet.plotOn(awmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
sprintf(ylabel,"Events / %.1f GeV",hAntiDataMet->GetBinWidth(1));
CPlot plotAntiMet("fitantimet",awmframe,"","",ylabel);
plotAntiMet.SetLegend(0.68,0.57,0.93,0.77);
plotAntiMet.GetLegend()->AddEntry(hDummyData,"data","PL");
plotAntiMet.GetLegend()->AddEntry(hDummyW,"W#rightarrow#mu#nu","F");
plotAntiMet.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
plotAntiMet.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
plotAntiMet.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
plotAntiMet.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
plotAntiMet.SetYRange(0.1,1.1*(hAntiDataMet->GetMaximum()));
plotAntiMet.Draw(c,kFALSE,format,1);
CPlot plotAntiMetDiff("fitantimet","","#slash{E}_{T} [GeV]","#chi");
plotAntiMetDiff.AddHist1D(hMetDiff,"EX0",ratioColor);
plotAntiMetDiff.SetYRange(-8,8);
plotAntiMetDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
plotAntiMetDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
plotAntiMetDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
plotAntiMetDiff.Draw(c,kTRUE,format,2);
plotAntiMet.SetName("fitantimetlog");
plotAntiMet.SetLogy();
plotAntiMet.SetYRange(1e-3*(hAntiDataMet->GetMaximum()),10*(hAntiDataMet->GetMaximum()));
plotAntiMet.Draw(c,kTRUE,format,1);
//
// W+ MET plot
//
RooPlot *wmpframe = pfmet.frame(Bins(NBINS));
wmpframe->GetYaxis()->SetNdivisions(505);
dataMetp.plotOn(wmpframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
pdfMetp.plotOn(wmpframe,FillColor(fillcolorW),DrawOption("F"));
pdfMetp.plotOn(wmpframe,LineColor(linecolorW));
pdfMetp.plotOn(wmpframe,Components(RooArgSet(pdfEWKp,*(qcdp.model))),FillColor(fillcolorEWK),DrawOption("F"));
pdfMetp.plotOn(wmpframe,Components(RooArgSet(pdfEWKp,*(qcdp.model))),LineColor(linecolorEWK));
pdfMetp.plotOn(wmpframe,Components(RooArgSet(*(qcdp.model))),FillColor(fillcolorQCD),DrawOption("F"));
pdfMetp.plotOn(wmpframe,Components(RooArgSet(*(qcdp.model))),LineColor(linecolorQCD));
pdfMetp.plotOn(wmpframe,Components(RooArgSet(pdfWmp)),LineColor(linecolorW),LineStyle(2));
dataMetp.plotOn(wmpframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
sprintf(ylabel,"Events / %.1f GeV",hDataMetp->GetBinWidth(1));
CPlot plotMetp("fitmetp",wmpframe,"","",ylabel);
plotMetp.SetLegend(0.68,0.57,0.93,0.77);
plotMetp.GetLegend()->AddEntry(hDummyData,"data","PL");
plotMetp.GetLegend()->AddEntry(hDummyW,"W^{+}#rightarrow#mu^{+}#nu","F");
plotMetp.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
plotMetp.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
plotMetp.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
plotMetp.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
// plotMetp.SetYRange(0.1,1.1*(hDataMetp->GetMaximum()));
plotMetp.SetYRange(0.1,4100);
plotMetp.Draw(c,kFALSE,format,1);
CPlot plotMetpDiff("fitmetp","","#slash{E}_{T} [GeV]","#chi");
plotMetpDiff.AddHist1D(hMetpDiff,"EX0",ratioColor);
plotMetpDiff.SetYRange(-8,8);
plotMetpDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
plotMetpDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
plotMetpDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
plotMetpDiff.Draw(c,kTRUE,format,2);
plotMetp.SetName("fitmetplog");
plotMetp.SetLogy();
plotMetp.SetYRange(1e-3*(hDataMetp->GetMaximum()),10*(hDataMetp->GetMaximum()));
plotMetp.Draw(c,kTRUE,format,1);
RooPlot *awmpframe = pfmet.frame(Bins(NBINS));
antiMetp.plotOn(awmpframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
apdfMetp.plotOn(awmpframe,FillColor(fillcolorW),DrawOption("F"));
apdfMetp.plotOn(awmpframe,LineColor(linecolorW));
apdfMetp.plotOn(awmpframe,Components(RooArgSet(apdfEWKp,*(aqcdp.model))),FillColor(fillcolorEWK),DrawOption("F"));
apdfMetp.plotOn(awmpframe,Components(RooArgSet(apdfEWKp,*(aqcdp.model))),LineColor(linecolorEWK));
apdfMetp.plotOn(awmpframe,Components(RooArgSet(*(aqcdp.model))),FillColor(fillcolorQCD),DrawOption("F"));
apdfMetp.plotOn(awmpframe,Components(RooArgSet(*(aqcdp.model))),LineColor(linecolorQCD));
apdfMetp.plotOn(awmpframe,Components(RooArgSet(apdfWmp)),LineColor(linecolorW),LineStyle(2));
antiMetp.plotOn(awmpframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
sprintf(ylabel,"Events / %.1f GeV",hAntiDataMetp->GetBinWidth(1));
CPlot plotAntiMetp("fitantimetp",awmpframe,"","",ylabel);
plotAntiMetp.SetLegend(0.68,0.57,0.93,0.77);
plotAntiMetp.GetLegend()->AddEntry(hDummyData,"data","PL");
plotAntiMetp.GetLegend()->AddEntry(hDummyW,"W^{+}#rightarrow#mu^{+}#nu","F");
plotAntiMetp.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
plotAntiMetp.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
plotAntiMetp.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
plotAntiMetp.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
// plotAntiMetp.SetYRange(0.1,1.1*(hAntiDataMetp->GetMaximum()));
plotAntiMetp.SetYRange(0.1,1500);
plotAntiMetp.Draw(c,kFALSE,format,1);
CPlot plotAntiMetpDiff("fitantimetp","","#slash{E}_{T} [GeV]","#chi");
plotAntiMetpDiff.AddHist1D(hAntiMetpDiff,"EX0",ratioColor);
plotAntiMetpDiff.SetYRange(-8,8);
plotAntiMetpDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
plotAntiMetpDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
plotAntiMetpDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
plotAntiMetpDiff.Draw(c,kTRUE,format,2);
plotAntiMetp.SetName("fitantimetplog");
plotAntiMetp.SetLogy();
plotAntiMetp.SetYRange(1e-3*(hAntiDataMetp->GetMaximum()),10*(hAntiDataMetp->GetMaximum()));
plotAntiMetp.Draw(c,kTRUE,format,1);
//
// W- MET plot
//
RooPlot *wmmframe = pfmet.frame(Bins(NBINS));
wmmframe->GetYaxis()->SetNdivisions(505);
dataMetm.plotOn(wmmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
pdfMetm.plotOn(wmmframe,FillColor(fillcolorW),DrawOption("F"));
pdfMetm.plotOn(wmmframe,LineColor(linecolorW));
pdfMetm.plotOn(wmmframe,Components(RooArgSet(pdfEWKm,*(qcdm.model))),FillColor(fillcolorEWK),DrawOption("F"));
pdfMetm.plotOn(wmmframe,Components(RooArgSet(pdfEWKm,*(qcdm.model))),LineColor(linecolorEWK));
pdfMetm.plotOn(wmmframe,Components(RooArgSet(*(qcdm.model))),FillColor(fillcolorQCD),DrawOption("F"));
pdfMetm.plotOn(wmmframe,Components(RooArgSet(*(qcdm.model))),LineColor(linecolorQCD));
pdfMetm.plotOn(wmmframe,Components(RooArgSet(pdfWmm)),LineColor(linecolorW),LineStyle(2));
dataMetm.plotOn(wmmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
sprintf(ylabel,"Events / %.1f GeV",hDataMetm->GetBinWidth(1));
CPlot plotMetm("fitmetm",wmmframe,"","",ylabel);
plotMetm.SetLegend(0.68,0.57,0.93,0.77);
plotMetm.GetLegend()->AddEntry(hDummyData,"data","PL");
plotMetm.GetLegend()->AddEntry(hDummyW,"W^{-}#rightarrow#mu^{-}#bar{#nu}","F");
plotMetm.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
plotMetm.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
plotMetm.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
plotMetm.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
// plotMetm.SetYRange(0.1,1.1*(hDataMetm->GetMaximum()));
plotMetm.SetYRange(0.1,4100);
plotMetm.Draw(c,kFALSE,format,1);
CPlot plotMetmDiff("fitmetm","","#slash{E}_{T} [GeV]","#chi");
plotMetmDiff.AddHist1D(hMetmDiff,"EX0",ratioColor);
plotMetmDiff.SetYRange(-8,8);
plotMetmDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
plotMetmDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
plotMetmDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
plotMetmDiff.Draw(c,kTRUE,format,2);
plotMetm.SetName("fitmetmlog");
plotMetm.SetLogy();
plotMetm.SetYRange(1e-3*(hDataMetm->GetMaximum()),10*(hDataMetm->GetMaximum()));
plotMetm.Draw(c,kTRUE,format,1);
RooPlot *awmmframe = pfmet.frame(Bins(NBINS));
antiMetm.plotOn(awmmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
apdfMetm.plotOn(awmmframe,FillColor(fillcolorW),DrawOption("F"));
apdfMetm.plotOn(awmmframe,LineColor(linecolorW));
apdfMetm.plotOn(awmmframe,Components(RooArgSet(apdfEWKm,*(aqcdm.model))),FillColor(fillcolorEWK),DrawOption("F"));
apdfMetm.plotOn(awmmframe,Components(RooArgSet(apdfEWKm,*(aqcdm.model))),LineColor(linecolorEWK));
apdfMetm.plotOn(awmmframe,Components(RooArgSet(*(aqcdm.model))),FillColor(fillcolorQCD),DrawOption("F"));
apdfMetm.plotOn(awmmframe,Components(RooArgSet(*(aqcdm.model))),LineColor(linecolorQCD));
apdfMetm.plotOn(awmmframe,Components(RooArgSet(apdfWmm)),LineColor(linecolorW),LineStyle(2));
antiMetm.plotOn(awmmframe,MarkerStyle(kFullCircle),MarkerSize(0.9),DrawOption("ZP"));
sprintf(ylabel,"Events / %.1f GeV",hDataMetm->GetBinWidth(1));
CPlot plotAntiMetm("fitantimetm",awmmframe,"","",ylabel);
plotAntiMetm.SetLegend(0.68,0.57,0.93,0.77);
plotAntiMetm.GetLegend()->AddEntry(hDummyData,"data","PL");
plotAntiMetm.GetLegend()->AddEntry(hDummyW,"W^{-}#rightarrow#mu^{-}#bar{#nu}","F");
plotAntiMetm.GetLegend()->AddEntry(hDummyEWK,"EWK+t#bar{t}","F");
plotAntiMetm.GetLegend()->AddEntry(hDummyQCD,"QCD","F");
plotAntiMetm.AddTextBox(lumitext,0.55,0.80,0.90,0.86,0);
plotAntiMetm.AddTextBox("CMS Preliminary",0.63,0.92,0.95,0.99,0);
// plotAntiMetm.SetYRange(0.1,1.1*(hAntiDataMetm->GetMaximum()));
plotAntiMetm.SetYRange(0.1,1500);
plotAntiMetm.Draw(c,kFALSE,format,1);
CPlot plotAntiMetmDiff("fitantimetm","","#slash{E}_{T} [GeV]","#chi");
plotAntiMetmDiff.AddHist1D(hAntiMetmDiff,"EX0",ratioColor);
plotAntiMetmDiff.SetYRange(-8,8);
plotAntiMetmDiff.AddLine(0, 0,METMAX, 0,kBlack,1);
plotAntiMetmDiff.AddLine(0, 5,METMAX, 5,kBlack,3);
plotAntiMetmDiff.AddLine(0,-5,METMAX,-5,kBlack,3);
plotAntiMetmDiff.Draw(c,kTRUE,format,2);
plotAntiMetm.SetName("fitantimetmlog");
plotAntiMetm.SetLogy();
plotAntiMetm.SetYRange(1e-3*(hAntiDataMetm->GetMaximum()),10*(hAntiDataMetm->GetMaximum()));
plotAntiMetm.Draw(c,kTRUE,format,1);
//--------------------------------------------------------------------------------------------------------------
// Output
//==============================================================================================================
cout << "*" << endl;
cout << "* SUMMARY" << endl;
cout << "*--------------------------------------------------" << endl;
//
// Write fit results
//
ofstream txtfile;
char txtfname[100];
ios_base::fmtflags flags;
Double_t chi2prob, chi2ndf;
Double_t ksprob, ksprobpe;
chi2prob = hDataMet->Chi2Test(hPdfMet,"PUW");
chi2ndf = hDataMet->Chi2Test(hPdfMet,"CHI2/NDFUW");
ksprob = hDataMet->KolmogorovTest(hPdfMet);
ksprobpe = hDataMet->KolmogorovTest(hPdfMet,"DX");
sprintf(txtfname,"%s/fitresWm.txt",CPlot::sOutDir.Data());
txtfile.open(txtfname);
assert(txtfile.is_open());
flags = txtfile.flags();
txtfile << setprecision(10);
txtfile << " *** Yields *** " << endl;
txtfile << "Selected: " << hDataMet->Integral() << endl;
txtfile << " Signal: " << nSig.getVal() << " +/- " << nSig.getPropagatedError(*fitRes) << endl;
txtfile << " QCD: " << nQCD.getVal() << " +/- " << nQCD.getPropagatedError(*fitRes) << endl;
txtfile << " Other: " << nEWK.getVal() << " +/- " << nEWK.getPropagatedError(*fitRes) << endl;
txtfile << endl;
txtfile.flags(flags);
fitRes->printStream(txtfile,RooPrintable::kValue,RooPrintable::kVerbose);
txtfile << endl;
printCorrelations(txtfile, fitRes);
txtfile << endl;
printChi2AndKSResults(txtfile, chi2prob, chi2ndf, ksprob, ksprobpe);
txtfile.close();
chi2prob = hDataMetp->Chi2Test(hPdfMetp,"PUW");
chi2ndf = hDataMetp->Chi2Test(hPdfMetp,"CHI2/NDFUW");
ksprob = hDataMetp->KolmogorovTest(hPdfMetp);
ksprobpe = hDataMetp->KolmogorovTest(hPdfMetp,"DX");
sprintf(txtfname,"%s/fitresWmp.txt",CPlot::sOutDir.Data());
txtfile.open(txtfname);
assert(txtfile.is_open());
flags = txtfile.flags();
txtfile << setprecision(10);
txtfile << " *** Yields *** " << endl;
txtfile << "Selected: " << hDataMetp->Integral() << endl;
txtfile << " Signal: " << nSigp.getVal() << " +/- " << nSigp.getPropagatedError(*fitResp) << endl;
txtfile << " QCD: " << nQCDp.getVal() << " +/- " << nQCDp.getPropagatedError(*fitResp) << endl;
txtfile << " Other: " << nEWKp.getVal() << " +/- " << nEWKp.getPropagatedError(*fitResp) << endl;
txtfile << endl;
txtfile.flags(flags);
fitResp->printStream(txtfile,RooPrintable::kValue,RooPrintable::kVerbose);
txtfile << endl;
printCorrelations(txtfile, fitResp);
txtfile << endl;
printChi2AndKSResults(txtfile, chi2prob, chi2ndf, ksprob, ksprobpe);
txtfile.close();
chi2prob = hDataMetm->Chi2Test(hPdfMetm,"PUW");
chi2ndf = hDataMetm->Chi2Test(hPdfMetm,"CHI2/NDFUW");
ksprob = hDataMetm->KolmogorovTest(hPdfMetm);
ksprobpe = hDataMetm->KolmogorovTest(hPdfMetm,"DX");
sprintf(txtfname,"%s/fitresWmm.txt",CPlot::sOutDir.Data());
txtfile.open(txtfname);
assert(txtfile.is_open());
flags = txtfile.flags();
txtfile << setprecision(10);
txtfile << " *** Yields *** " << endl;
txtfile << "Selected: " << hDataMetm->Integral() << endl;
txtfile << " Signal: " << nSigm.getVal() << " +/- " << nSigm.getPropagatedError(*fitResm) << endl;
txtfile << " QCD: " << nQCDm.getVal() << " +/- " << nQCDm.getPropagatedError(*fitResm) << endl;
txtfile << " Other: " << nEWKm.getVal() << " +/- " << nEWKm.getPropagatedError(*fitResm) << endl;
txtfile << endl;
txtfile.flags(flags);
fitResm->printStream(txtfile,RooPrintable::kValue,RooPrintable::kVerbose);
txtfile << endl;
printCorrelations(txtfile, fitResm);
txtfile << endl;
printChi2AndKSResults(txtfile, chi2prob, chi2ndf, ksprob, ksprobpe);
txtfile.close();
makeHTML(outputDir);
cout << endl;
cout << " <> Output saved in " << outputDir << "/" << endl;
cout << endl;
gBenchmark->Show("fitWm");
}
void plottingmacro_IVF()
{
double fa = 0.46502;
double fb = 0.53498;
bool debug_ = true;
// std::string path("Nov10thFall11Plots/");
// std::string path("Nov10Fall1160MTopSlimPlots/");
std::string path("Nov10Fall1160MTopIVFPlots_b/");
if(debug_)
std::cout << "Init the style form setTDRStyle" << std::endl;
setTDRStyle();
gStyle->SetErrorX(0.5);
gROOT->ForceStyle();
initOptions();
if(debug_)
std::cout << "Init the sample" << std::endl;
// std::vector<Sample> s = Nov10thDiJetPtUpdatedSlimHistos();
//std::vector<Sample> s = Nov10Fall1160MTopSlimHistos();
std::vector<Sample> s = Nov10Fall1160MTopIVFHistos();
Sample data(1,"fake data","S1.root",0,true,1000);
if(debug_)
std::cout << "Init the data sample" << std::endl;
for(size_t i=0;i< s.size();i++) if(s[i].data) {data=s[i];break;}
if(debug_)
std::cout << "Ls data sample" << std::endl;
data.file()->ls();
if(debug_)
std::cout << "Init the mc sample" << std::endl;
for(size_t i=0;i< s.size();i++) s[i].dump(1,fa,fb);
std::vector<std::string> names;
if(debug_)
std::cout << "Get List of Keys" << std::endl;
TList * subs = data.file()->GetListOfKeys();
for(size_t i=0;i< subs->GetSize();i++)
{
TString nn = subs->At(i)->GetName();
if( nn.Contains(TRegexp("Count*")) )
continue;
if(debug_)
std::cout << "Get List of Keys in subdirs" << std::endl;
TList * objs = ((TDirectoryFile *)data.file()->Get(subs->At(i)->GetName()))->GetListOfKeys();
for(size_t j=0;j< objs->GetSize();j++)
{
if(debug_)
std::cout << "Name = " << subs->At(i)->GetName()+std::string("/") + objs->At(j)->GetName() << std::endl;
names.push_back(subs->At(i)->GetName()+std::string("/") + objs->At(j)->GetName());
// std::cout << subs->At(i)->GetName() << "/" << objs->At(j)->GetName() << std::endl;
//TODO: select plots via regexp
}
}
if(debug_)
std::cout << "Starting plotting" << std::endl;
std::string process;
for(size_t i = 0 ; i < names.size() ; i++)
{
std::map<std::string,TH1F *> grouped;
TString n=names[i];
// if(!n.Contains(TRegexp("VlightRegionHZee/HiggsPtVlightRegionHZee"))) continue;
// if(!n.Contains(TRegexp("VlightRegionHZee/ZPtVlightRegionHZee"))) continue;
// if(!n.Contains(TRegexp("VlightRegionHZee"))) continue;
// if(!n.Contains(TRegexp("ZSVRegionZmmSV"))) continue;
// if(!n.Contains(TRegexp("ZSVRegionZeeSV"))) continue;
// if(!n.Contains(TRegexp("ZSVRegionZcombSV"))) continue;
// if(!n.Contains(TRegexp("ZSVPureRegionZcombSV"))) continue;
// if(!n.Contains(TRegexp("ZSVTTbarPureRegionZcombSV"))) continue;
if(!n.Contains(TRegexp("TTbarRegionZeeSVJets"))) continue;
if(n.Contains(TRegexp("RegionHZcomb")))
process = "Z(l^{+}l^{-})H(b#bar{b})";
if(n.Contains(TRegexp("RegionHZmm")))
process = "Z(#mu^{+}#mu^{-})H(b#bar{b})";
if(n.Contains(TRegexp("RegionHZee")))
process = "Z(e^{+}e^{-})H(b#bar{b})";
if(debug_)
std::cout << "Creating the Canvas" << std::endl;
TCanvas *c = new TCanvas();
c->SetLogy(false);
c->SetTitle(names[i].c_str());
if(debug_)
std::cout << "Creating histograms" << std::endl;
TH1F *hd = ((TH1F*)data.file()->Get(names[i].c_str()));
hd->Sumw2();
Options o=options[names[i]];
// hd->Rebin(o.rebin);
hd->SetMarkerStyle(20);
hd->GetXaxis()->SetLabelOffset(99);
hd->SetYTitle(o.yaxis.c_str());
double nbin = hd->GetNbinsX();
double min_bin = hd->GetXaxis()->GetXmin();
double max_bin = hd->GetXaxis()->GetXmax();
TH1F *hmc = new TH1F("hmc","hmc", nbin, min_bin, max_bin);
hmc->SetFillColor(kWhite);
hmc->Sumw2();
// hmc->Rebin(o.rebin);
if(debug_)
std::cout << "Creating the THStack and Legend" << std::endl;
THStack * sta = new THStack("sta",hd->GetTitle());
TLegend * l = new TLegend(o.legendx1,o.legendy1,o.legendx2,o.legendy2); //0.7,0.1,0.9,0.6);
l->SetFillColor(kWhite);
l->SetBorderSize(0);
l->SetTextFont(62);
l->SetTextSize(0.03);
if(debug_)
std::cout << "Adding data to the legend" << std::endl;
l->AddEntry(hd, "Data","P");
if(debug_)
std::cout << "Adding MC to the THStack" << std::endl;
//with the proper trigger eff
// double SF[] = {1.01,1.03,1.00};
// double SF[] = {1.03,1.054,1.032};
double SF[] = {1.0,1.0,1.0};
if(debug_){
for(int i = 0; i< 3; ++i)
std::cout << "SF [" << i << "] = " << SF[i] << std::endl;
}
double mcIntegral=0;
for(size_t j=0;j< s.size() ;j++)
{
if(!s[j].data)
{
if(debug_)
std::cout << "Creating TH1F from file " << s[j].name << std::endl;
TH1F * h = ((TH1F*)s[j].file()->Get(names[i].c_str()));
h->Sumw2();
if(debug_){
std::cout << "TH1F created from file " << s[j].name << std::endl;
std::cout << "Scaling : " << s[j].scale(data.lumi(),fa,fb) << std::endl;
std::cout << "Scaling with SF : " << s[j].scale(data.lumi(),fa,fb,SF) << std::endl;
std::cout << "Histo integral before scaling = " << h->Integral() << std::endl;
}
h->Scale(s[j].scale(data.lumi(),fa,fb,SF));
if(debug_){
std::cout << "Histo integral after scaling = " << h->Integral() << std::endl;
std::cout << "Managing style... " << std::endl;
}
h->SetLineWidth(1.);
h->SetFillColor(s[j].color);
h->SetLineColor(s[j].color);
// h->Rebin(options[names[i]].rebin);
if(debug_)
std::cout << "Cloning and update legend " << std::endl;
if(grouped.find(s[j].name) == grouped.end()){
l->AddEntry(h,s[j].name.c_str(),"F");
}
std::cout << "Sample : " << s[j].name << " - Integral for plot " << names[i] << " = " << h->Integral(-10000,10000) << std::endl;
mcIntegral += h->Integral();
sta->Add(h);
hmc->Add(h);
//TO FIX grouped map
// sovrascrive histo con lo stesso nome tipo VV o ST etc...
grouped[s[j].name]=(TH1F *)h->Clone(("_"+names[i]).c_str());
}
}
if(debug_){
std::cout << "Data total = " << hd->Integral() << std::endl;
std::cout << "MC = " << mcIntegral << std::endl;
std::cout << "Data/MC = " << hd->Integral()/mcIntegral << std::endl;
}
TPad * TopPad = new TPad("TopPad","Top Pad",0.,0.3,1.,1. ) ;
TPad * BtmPad = new TPad("BtmPad","Bottom Pad",0.,0.,1.,0.313 ) ;
TopPad->SetBottomMargin(0.02);
BtmPad->SetTopMargin(0.0);
BtmPad->SetFillStyle(4000);
TopPad->SetFillStyle(4000);
BtmPad->SetFillColor(0);
BtmPad->SetBottomMargin(0.35);
TopPad->Draw() ;
BtmPad->Draw() ;
std::cout << "hd maximum = " << hd->GetMaximum() << " sta maximum = " << sta->GetMaximum() << std::endl;
double maxY;
if(hd->GetMaximum() > sta->GetMaximum()) maxY = (hd->GetMaximum())*1.5;
else maxY = (sta->GetMaximum())*1.5;
TopPad->cd();
hd->Draw("E1X0");
sta->Draw("sameHIST");
hmc->Draw("sameE2");
hmc->SetFillColor(2);
hmc->SetMarkerSize(0);
hmc->SetFillStyle(3013);
hd->Draw("E1X0same");
l->Draw("same");
std::cout << "Set Maximum to = " << maxY << std::endl;
hd->GetYaxis()->SetRangeUser(0.,maxY);
hd->GetXaxis()->SetRangeUser(options[names[i]].min,options[names[i]].max);
BtmPad->cd();
std::cout << "Division" << std::endl;
TH1D * divisionErrorBand = (TH1D*)(hmc)->Clone("divisionErrorBand");
divisionErrorBand->Sumw2();
divisionErrorBand->Divide(hmc);
divisionErrorBand->Draw("E2");
divisionErrorBand->SetMaximum(2.49);
divisionErrorBand->SetMinimum(0);
divisionErrorBand->SetMarkerStyle(20);
divisionErrorBand->SetMarkerSize(0.55);
divisionErrorBand->GetXaxis()->SetTitleOffset(1.12);
divisionErrorBand->GetXaxis()->SetLabelSize(0.12);
divisionErrorBand->GetXaxis()->SetTitleSize(0.5);
divisionErrorBand->GetYaxis()->SetTitle("Data/MC");
divisionErrorBand->GetYaxis()->SetLabelSize(0.12);
divisionErrorBand->GetYaxis()->SetTitleSize(0.12);
divisionErrorBand->GetYaxis()->SetTitleOffset(0.40);
divisionErrorBand->GetYaxis()->SetNdivisions(505);
//divisionErrorBand->UseCurrentStyle();
divisionErrorBand->SetFillColor(2);
divisionErrorBand->SetFillStyle(3001);
divisionErrorBand->SetMarkerSize(0.);
TH1D * division = (TH1D*)(hd)->Clone("division");
division->Sumw2();
division->Divide(hmc);
// division->SetMaximum(2.5);
// division->SetMinimum(0);
// division->SetMarkerStyle(20);
// division->SetMarkerSize(0.55);
// division->GetXaxis()->SetLabelSize(0.12);
// division->GetXaxis()->SetTitleSize(0.14);
// division->GetYaxis()->SetLabelSize(0.10);
// division->GetYaxis()->SetTitleSize(0.10);
// division->GetYaxis()->SetTitle("Data/MC");
Double_t min = division->GetXaxis()->GetXmin();
Double_t max = division->GetXaxis()->GetXmax();
division->Draw("E1X0same");
TLine *line = new TLine(min, 1.0, max, 1.0);
line->SetLineColor(kRed);
line->Draw("same");
TLegend * leg3 =new TLegend(0.50,0.86,0.69,0.96);
leg3->AddEntry(divisionErrorBand,"MC uncert. (stat.)","f");
leg3->SetFillColor(0);
leg3->SetLineColor(0);
leg3->SetShadowColor(0);
leg3->SetTextFont(62);
leg3->SetTextSize(0.06);
leg3->Draw();
TPaveText *pave = new TPaveText(0.15,0.85,0.32,0.96,"brNDC");
pave->SetTextAlign(12);
pave->SetLineColor(0);
pave->SetFillColor(0);
pave->SetShadowColor(0);
//TText *text = pave->AddText(Form("#chi_{#nu}^{2} = %.3f, K_{s} = %.3f",histDt->Chi2Test(histCopyMC5,"UWCHI2/NDF"),histDt->KolmogorovTest(histCopyMC5))); // stat + sys
TText *text = pave->AddText(Form("#chi_{#nu}^{2} = %.3f, K_{s} = %.3f",hd->Chi2Test(hmc,"UWCHI2/NDF"),hd->KolmogorovTest(hmc))); // stat only
text->SetTextFont(62);
text->SetTextSize(0.08);
pave->Draw();
TopPad->cd();
TLatex latex;
latex.SetNDC();
latex.SetTextAlign(12);
latex.SetTextSize(0.052);
latex.DrawLatex(0.17,0.89,"CMS Preliminary");
latex.SetTextSize(0.04);
latex.DrawLatex(0.17,0.84,"#sqrt{s} = 7 TeV, L = 4.7 fb^{-1}");
// latex.DrawLatex(0.17,0.79,"Z(e^{+}e^{-})H(b#bar{b})");
latex.DrawLatex(0.17,0.79,process.c_str());
c->Update();
std::string cName= hd->GetName();
cName += "_bare.pdf";
cName = path+cName;
c->Print(cName.c_str(),"pdf");
// std::cout << names[i] << " d: " << hd->Integral() << " ";
// THStack * sta2 = new THStack("sta2",hd->GetTitle());
// float tot=0;
// float toterr2=0;
// if(debug_)
// std::cout << "Putting the iterator in the for loop" << std::endl;
// for(std::map<std::string,TH1F *>::reverse_iterator it=grouped.rbegin(); it!=grouped.rend();++it)
// {
// if(debug_)
// std::cout << "Using the iterator" << std::endl;
// std::cout << (*it).first << " " << (*it).second->Integral() << " | " << std::endl ;
// if((*it).second->GetEntries() > 0) {
// float er=1.*sqrt((*it).second->GetEntries())/(*it).second->GetEntries()*(*it).second->Integral();
// toterr2+=er*er;
// }
// tot+=(*it).second->Integral();
// sta2->Add(it->second);
// }
// std::cout << " Tot: " << tot << "+-" << sqrt(toterr2) << " SF: " << hd->Integral()/tot << std::endl;
// TCanvas *c2 = new TCanvas();
// c2->SetTitle(names[i].c_str());
// std::cout << "hd maximum = " << hd->GetMaximum() << " sta2 maximum = " << sta2->GetMaximum() << std::endl;
// if(hd->GetMaximum() > sta2->GetMaximum()) maxY = hd->GetBinContent(hd->GetMaximumBin()) * 1.5;
// else maxY = ( sta2->GetMaximum())*1.5;
// // hd->Draw("E1");
// sta2->Draw("PADSHIST");
// // hd->Draw("E1same");
// // l->Draw("same");
// std::cout << "Set Maximum to = " << maxY << std::endl;
// hd->GetYaxis()->SetRangeUser(0.,maxY);
// hd->GetXaxis()->SetRangeUser(options[names[i]].min,options[names[i]].max);
// c2->Update();
// std::string c2Name = hd->GetName();
// c2Name = path+c2Name;
// c2Name += "_norm.pdf";
// c2->Print(c2Name.c_str(),"pdf");
}
}
void test()
{
//Illustrates TVirtualFitter::GetConfidenceIntervals
//This method computes confidence intervals for the fitted function
//Author: Anna Kreshuk
TCanvas *myc = new TCanvas("myc",
"Confidence intervals on the fitted function",1200, 500);
myc->Divide(3,1);
/////1. A graph
//Create and fill a graph
Int_t ngr = 100;
TGraph *gr = new TGraph(ngr);
gr->SetName("GraphNoError");
Double_t x, y;
Int_t i;
for (i=0; i<ngr; i++){
x = gRandom->Uniform(-1, 1);
y = -1 + 2*x + gRandom->Gaus(0, 1);
gr->SetPoint(i, x, y);
}
//Create the fitting function
TF1 *fpol = new TF1("fpol", "pol1", -1, 1);
fpol->SetLineWidth(2);
gr->Fit(fpol, "Q");
//Create a TGraphErrors to hold the confidence intervals
TGraphErrors *grint = new TGraphErrors(ngr);
grint->SetTitle("Fitted line with .95 conf. band");
for (i=0; i<ngr; i++)
grint->SetPoint(i, gr->GetX()[i], 0);
//Compute the confidence intervals at the x points of the created graph
(TVirtualFitter::GetFitter())->GetConfidenceIntervals(grint);
//Now the "grint" graph contains function values as its y-coordinates
//and confidence intervals as the errors on these coordinates
//Draw the graph, the function and the confidence intervals
myc->cd(1);
grint->SetLineColor(kRed);
grint->Draw("ap");
gr->SetMarkerStyle(5);
gr->SetMarkerSize(0.7);
gr->Draw("psame");
/////2. A histogram
myc->cd(2);
//Create, fill and fit a histogram
Int_t nh=5000;
TH1D *h = new TH1D("h",
"Fitted gaussian with .95 conf.band", 100, -3, 3);
h->FillRandom("gaus", nh);
TF1 *f = new TF1("fgaus", "gaus", -3, 3);
f->SetLineWidth(2);
h->Fit(f, "Q");
h->Draw();
//Create a histogram to hold the confidence intervals
TH1D *hint = new TH1D("hint",
"Fitted gaussian with .95 conf.band", 100, -3, 3);
(TVirtualFitter::GetFitter())->GetConfidenceIntervals(hint);
//Now the "hint" histogram has the fitted function values as the
//bin contents and the confidence intervals as bin errors
hint->SetStats(kFALSE);
hint->SetFillColor(2);
hint->Draw("e3 same");
/////3. A 2d graph
//Create and fill the graph
Int_t ngr2 = 100;
Double_t z, rnd, e=0.3;
TGraph2D *gr2 = new TGraph2D(ngr2);
gr2->SetName("Graph2DNoError");
TF2 *f2 = new TF2("f2",
"1000*(([0]*sin(x)/x)*([1]*sin(y)/y))+250",-6,6,-6,6);
f2->SetParameters(1,1);
for (i=0; i<ngr2; i++){
f2->GetRandom2(x,y);
// Generate a random number in [-e,e]
rnd = 2*gRandom->Rndm()*e-e;
z = f2->Eval(x,y)*(1+rnd);
gr2->SetPoint(i,x,y,z);
}
//Create a graph with errors to store the intervals
TGraph2DErrors *grint2 = new TGraph2DErrors(ngr2);
for (i=0; i<ngr2; i++)
grint2->SetPoint(i, gr2->GetX()[i], gr2->GetY()[i], 0);
//Fit the graph
f2->SetParameters(0.5,1.5);
gr2->Fit(f2, "Q");
//Compute the confidence intervals
(TVirtualFitter::GetFitter())->GetConfidenceIntervals(grint2);
//Now the "grint2" graph contains function values as z-coordinates
//and confidence intervals as their errors
//draw
myc->cd(3);
f2->SetNpx(30);
f2->SetNpy(30);
f2->SetFillColor(kBlue);
f2->Draw("surf4");
grint2->SetNpx(20);
grint2->SetNpy(20);
grint2->SetMarkerStyle(24);
grint2->SetMarkerSize(0.7);
grint2->SetMarkerColor(kRed);
grint2->SetLineColor(kRed);
grint2->Draw("E0 same");
grint2->SetTitle("Fitted 2d function with .95 error bars");
myc->cd();
}